Advertisement
| biostatistics and epidemiology book: Biostatistics and Epidemiology Sylvia Wassertheil-Smoller, 2013-06-29 Biostatistics and Epidemiology: A Primer for Health Professionals focuses on the underlying framework of the field and offers practical guidelines for research and interpretation. In addition to major sections devoted to statistics and epidemiology, the book includes a comprehensive exploration of the scientific method, probability, and clinical trials. New to the second edition are: -a reorganization of the material -new information on survival analysis such as the Cox proportional hazards model -topics in nonparametric statistics -expanded discussion of probability and its applications in epidemiology -an entirely new chapter on areas relevant to behavioral research and change scores, reliability, validity, and responsiveness -new appendices providing specific and clear instructions on how to carry out several additional statistical calculations and tests Biostatistics and Epidemiology describes principles and methods applicable to medicine, public health, allied health, psychology and education and will be useful not only to physicians doing clinical as well as basic science research, but also to students at undergraduate, graduate and medical school levels. |
| biostatistics and epidemiology book: Clinical Epidemiology and Biostatistics Michael S. Kramer, 2012-12-06 Here is a book for clinicians, clinical investigators, trainees, and graduates who wish to develop their proficiency in the planning, execution, and interpretation of clinical and epidemiological research. Emphasis is placed on the design and analysis of research studies involving human subjects where the primary interest concerns principles of analytic (cause-and- effect) inference. The topic is presented from the standpoint of the clinician and assumes no previous knowledge of epidemiology, research design or statistics. Extensive use is made of illustrative examples from a variety of clinical specialties and subspecialties. The book is divided into three parts. Part I deals with epidemiological research design and analytic inference, including such issues as measurement, rates, analytic bias, and the main forms of observational and experimental epidemiological studies. Part II presents the principles and applications of biostatistics, with emphasis on statistical inference. Part III comprises four chapters covering such topics as diagnostic tests, decision analysis, survival (life-table) analysis, and causality. |
| biostatistics and epidemiology book: Basic Biostatistics Gerstman, 2014-02-07 Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields. The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples. The book is organized into three parts: Part I addresses basic concepts and techniques; Part II covers analytic techniques for quantitative response variables; and Part III covers techniques for categorical responses. The Second Edition offers many new exercises as well as an all new chapter on Poisson Random Variables and the Analysis of Rates. With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health. Features: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher. Chapters are intentionally brief and limited in scope to allow for flexibility in the order of coverage. Equal attention is given to manual calculations as well as the use of statistical software such as StaTable, SPSS, and WinPepi. Comprehensive Companion Website with Student and Instructor's Resources. |
| biostatistics and epidemiology book: Fundamentals of Epidemiology and Biostatistics Ray M. Merrill, 2013 This book will familiarize your students with basic principles of epidemiology and biostatistics. Designed for use in a single course, it will clarify the distinction and complementary roles of epidemiology and biostatistics in a range of settings, and train students on the complementary roles epidemiology and biostatistics play in carrying out selected activities in the health professions. |
| biostatistics and epidemiology book: Biostatistics for Epidemiology and Public Health Using R Bertram K.C. Chan, PhD, 2015-11-05 Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual |
| biostatistics and epidemiology book: Biostatistics and Epidemiology Sylvia Wassertheil-Smoller, Jordan Smoller, 2015-02-05 Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of how to do it and how to interpret it. Key features include a philosophical and logical explanation at the beginning of the book, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text. |
| biostatistics and epidemiology book: Biostatistics for Epidemiologists Anders Ahlbom, 2017-11-22 Biostatistics for Epidemiologists is a unique book that provides a collection of methods that can be used to analyze data in most epidemiological studies. It examines the theoretical background of the methods described and discusses general principles that apply to the analysis of epidemiological data. Specific topics addressed include statistical interference in epidemiological research, important methods used for analyzing epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer programs. Biostatistics for Epidemiologists will be a useful guide for all epidemiologists and public health professionals who rely on biostatistical data in their work. |
| biostatistics and epidemiology book: Epidemiology, Biostatistics and Preventive Medicine James F. Jekel, David L. Katz, Dorothea Wild, Joann G. Elmore, 2007-05-18 Succinct yet thorough, Epidemiology, Biostatistics, and Preventive Medicine, 3rd Edition brings you today's best knowledge on epidemiology, biostatistics, preventive medicine, and public health-in one convenient source. You'll find the latest on healthcare policy and financing ? infectious diseases ? chronic disease ? and disease prevention technology. This text also serves as an outstanding resource for preparing for the USMLE, and the American Board of Preventive Medicine recommends it as a top review source for its core specialty examination. |
| biostatistics and epidemiology book: Epidemiology and Biostatistics Bryan Kestenbaum, 2018-10-12 This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook Epidemiology and Biostatistics, 2nd Edition. It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials created to teach Epidemiology and Biostatistics to medical students. The major differences from related titles include a “story” based approach toward teaching the material, relative brevity while maintaining focus on key concepts, and taking the perspective of first-time learners (avoiding and/or clearly defining jargon, using clear common-sense language). It features a variety of questions: long, short, and multiple choice questions. The workbook is made to provide students with the tools necessary to form their own informed conclusions from the clinical research literature. |
| biostatistics and epidemiology book: Biostatistics for Human Genetic Epidemiology Bertram K. C. Chan, 2018-10-24 The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve problems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology, with R codes illustrations for various examples. This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology – leading the readers through an effective epidemiologic model, from simple to advanced levels. Classical mathematical, probabilistic, and statistical theory are thoroughly discussed and presented. This book also presents R as a calculator and using R in data analysis. Additionally, it covers Advanced Human Genetic Data Concepts, the Study of Human Genetic Variation, Manhattan Plots, as well as the Procedures for Multiple Comparison. Numerous Worked Examples are provided for illustrations of concepts and real-life applications. Biostatistics for Human Genetic Epidemiology is an ideal reference for professionals and students in Medicine (particularly in Preventive Medicine and Public Health Medical Practices), as well as in Genetics, Epidemiology, and Biostatistics. |
| biostatistics and epidemiology book: Basics in Epidemiology and Biostatistics Waqar H Kazmi, Farida Habib Khan, 2014-10-20 |
| biostatistics and epidemiology book: High-yield Biostatistics Anthony N. Glaser, 2001 Part of the successful High-Yield™ Series, High-Yield™ Biostatistics, Second Edition explains concepts, provides examples, and covers the complete range of biostatistics material that can be expected to appear on the USMLE Step 1. New to this edition are references to evidence-based medicine, and information updated to reflect changes in the current USMLE examinations. |
| biostatistics and epidemiology book: Modern Methods for Epidemiology Yu-Kang Tu, Darren C. Greenwood, 2012-05-22 Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become indispensible tools for researchers working in epidemiology and medicine but are rarely discussed in details by standard textbooks of biostatistics or epidemiology. Contributors of this book are experienced researchers and experts in their respective fields. This textbook provides a solid starting point for those who are new to epidemiology, and for those looking for guidance in more modern statistical approaches to observational epidemiology. Epidemiological and biomedical researchers who wish to overcome the mathematical barrier of applying those methods to their research will find this book an accessible and helpful reference for self-learning and research. This book is also a good source for teaching postgraduate students in medical statistics or epidemiology. |
| biostatistics and epidemiology book: Biostatistics for Clinical and Public Health Research Melody S. Goodman, 2017-12-14 Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners. |
| biostatistics and epidemiology book: Applied Epidemiology and Biostatistics Giuseppe La Torre, 2010 This book provides not only the theory of biostatistics, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described. |
| biostatistics and epidemiology book: Basic Biostatistics for Geneticists and Epidemiologists Robert C. Elston, William Johnson, 2008-11-20 Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics. |
| biostatistics and epidemiology book: Heart Failure Longjian Liu, 2017-09-14 Get a quick, expert overview of the many key facets of heart failure research with this concise, practical resource by Dr. Longjian Liu. This easy-to-read reference focuses on the incidence, distribution, and possible control of this significant clinical and public health problem which is often associated with higher mortality and morbidity, as well as increased healthcare expenditures. This practical resource brings you up to date with what's new in the field and how it can benefit your patients. - Features a wealth of information on epidemiology and research methods related to heart failure. - Discusses pathophysiology and risk profile of heart failure, research and design, biostatistical basis of inference in heart failure study, advanced biostatistics and epidemiology applied in heart failure study, and precision medicine and areas of future research. - Consolidates today's available information and guidance in this timely area into one convenient resource. |
| biostatistics and epidemiology book: Medical Biostatistics & Epidemiology Diane Essex-Sorlie, 1995 This is the ideal resource to review biostatistics and epidemiology for the USMLE Steps 1 and 2. Each chapter presents a case study, an explanation of the material and ends with a summary and review questions. |
| biostatistics and epidemiology book: Methods in Social Epidemiology J. Michael Oakes, Jay S. Kaufman, 2006-05-11 Social epidemiology is the study of how social interactions—social norms, laws, institutions, conventia, social conditions and behavior—affect the health of populations. This practical, comprehensive introduction to methods in social epidemiology is written by experts in the field. It is perfectly timed for the growth in interest among those in public health, community health, preventive medicine, sociology, political science, social work, and other areas of social research. Topics covered are: Introduction: Advancing Methods in Social Epidemiology The History of Methods of Social Epidemilogy to 1965 Indicators of Socioeconomic Position Measuring and Analyzing 'Race' Racism and Racial Discrimination Measuring Poverty Measuring Health Inequalities A Conceptual Framework for Measuring Segregation and its Association with Population Outcomes Measures of Residential Community Contexts Using Census Data to Approximate Neighborhood Effects Community-based Participatory Research: Rationale and Relevance for Social Epidemiology Network Methods in Social Epidemiology Identifying Social Interactions: A Review, Multilevel Studies Experimental Social Epidemiology: Controlled Community Trials Propensity Score Matching Methods for Social Epidemiology Natural Experiments and Instrumental Variable Analyses in Social Epidemiology and Using Causal Diagrams to Understand Common Problems in Social Epidemiology. Publication of this highly informative textbook clearly reflects the coming of age of many social epidemiology methods, the importance of which rests on their potential contribution to significantly improving the effectiveness of the population-based approach to prevention. This book should be of great interest not only to more advanced epidemiology students but also to epidemiologists in general, particularly those concerned with health policy and the translation of epidemiologic findings into public health practice. The cause of achieving a ‘more complete’ epidemiology envisaged by the editors has been significantly advanced by this excellent textbook. —Moyses Szklo, professor of epidemiology and editor-in-chief, American Journal of Epidemiology, Johns Hopkins University Social epidemiology is a comparatively new field of inquiry that seeks to describe and explain the social and geographic distribution of health and of the determinants of health. This book considers the major methodological challenges facing this important field. Its chapters, written by experts in a variety of disciplines, are most often authoritative, typically provocative, and often debatable, but always worth reading. —Stephen W. Raudenbush, Lewis-Sebring Distinguished Service Professor, Department of Sociology, University of Chicago The roadmap for a new generation of social epidemiologists. The publication of this treatise is a significant event in the history of the discipline. —Ichiro Kawachi, professor of social epidemiology, Department of Society, Human Development, and Health, Harvard University Methods in Social Epidemiology not only illuminates the difficult questions that future generations of social epidemiologists must ask, it also identifies the paths they must boldly travel in the pursuit of answers, if this exciting interdisciplinary science is to realize its full potential. This beautifully edited volume appears at just the right moment to exert a profound influence on the field. —Sherman A. James, Susan B. King Professor of Public Policy Studies, professor of Community and Family Medicine, professor of African-American Studies, Duke University |
| biostatistics and epidemiology book: Quantitative Methods for Health Research Nigel Bruce, Daniel Pope, Debbi Stanistreet, 2013-03-18 Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation. |
| biostatistics and epidemiology book: Statistics for Epidemiology Nicholas P. Jewell, 2003-08-26 Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of recipes. Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches. Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies. |
| biostatistics and epidemiology book: Statistical Methods for Global Health and Epidemiology Xinguang Chen, (Din) Ding-Geng Chen, 2020-04-13 This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation. |
| biostatistics and epidemiology book: Methods of Clinical Epidemiology Suhail A. R. Doi, Gail M. Williams, 2013-06-01 “Methods of Clinical Epidemiology” serves as a text on methods useful to clinical researchers. It provides a clear introduction to the common research methodology specific to clinical research for both students and researchers. This book sets out to fill the gap left by texts that concentrate on public health epidemiology and focuses on what is not covered well in such texts. The four sections cover methods that have not previously been brought together in one text and serves as a second level textbook of clinical epidemiology methodology. This book will be of use to postgraduate students in clinical epidemiology as well as clinical researchers at the start of their careers. |
| biostatistics and epidemiology book: Biostatistics and Epidemiology , 1982 |
| biostatistics and epidemiology book: Appleton & Lange's Review of Epidemiology & Biostatistics for the USMLE Edward J. Hanrahan, Gangadhar Madupu, 1994 |
| biostatistics and epidemiology book: Medical Statistics for Cancer Studies Trevor F. Cox, 2022-06-23 Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author’s many years of experience working in a cancer clinical trials unit. Features: A broad and accessible overview of statistical methods in cancer research Necessary background in cancer biology and genetics Details of statistical methodology with minimal algebra Many examples using real data from cancer clinical trials Appendix giving statistics revision. |
| biostatistics and epidemiology book: Social Epidemiology Lisa F. Berkman, Ichiro Kawachi, 2000-03-09 The authors of this groundbreaking text define social epidemiology as the study of the social determinants of health, implying that an important goal of public health is to identify and address factors in the social environment that may be related to health outcomes. In the first systematic account of this field, they focus on the major social variables that influence health, including socioeconomic position, income distribution, race/ethnicity, gender, social networks/social support, social capital and community cohesion, work environment, life transitions, and affective psychological states. Individual chapters describe the conceptualization and measurement of each social variable, as well as the empirical evidence linking them to a broad range of mental, physical, and behavioral health outcomes. The volume draws on the expertise of an internationally renowned group of scholars, representing the diversity of disciplines relevant to this emerging field, from sociology and psychology to physiology and medicine. The approaches covered by the chapters span the range from formulating and testing hypotheses about the links between social conditions and health to designing and implementing interventions and social policies to improve population health. The challenge of persistent social inequalities in health across the globe makes this a timely publication. The book will be an indispensable introduction to the field for students, researchers, practitioners, and policy analysts. |
| biostatistics and epidemiology book: Epidemiology, Biostatistics, and Preventive Medicine Review David L. Katz, 1997 Designed to accompany EPIDEMIOLOGY, BIOSTATISTICS, & PREVENTIVE MEDICINE, this book serves as a general review of the subject for both class study and for the USMLE Step 2 examination. Each chapter provides learning objectives, an abbreviated review of the subject matter, Board-style questions, answers with detailed rationales, references to the core text, case studies, and a brief glossary. |
| biostatistics and epidemiology book: Epidemiology Foundations Peter J. Fos, 2010-12-21 Written by Peter J. Fos an expert in epidemiology with more than twenty years teaching experience Epidemiology Foundations offers an ideal introduction to the theory and practice of public health epidemiology. This important text discusses both the historical perspective and future trends of epidemiology, reviews health and disease, and explains how they are measured. The book's overview of epidemiological studies shows how they are used in practice. Epidemiology Foundations takes a social and community perspective and includes information about global diseases and epidemics. Emphasis on concepts such as population health, social determinants, and global health make this book especially interesting and accessible to those new to the subject. Each chapter is supplemented with problem-solving exercises and research assignments to aid readers in understanding its epidemiology principles. Reflecting and expanding on recommendations of the Association of American Colleges and Universities, Epidemiology Foundations is the ideal text for any course introducing epidemiology in public health. |
| biostatistics and epidemiology book: Epidemiology Mark Woodward, 2013-12-19 Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third Edition New chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines Many more exercises and examples using both Stata and SAS More than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web Resource A wealth of supporting material can be downloaded from the book’s CRC Press web page, including: Real-life data sets used in the text SAS and Stata programs used for examples in the text SAS and Stata programs for special techniques covered Sample size spreadsheet |
| biostatistics and epidemiology book: Demography and Health Issues Christos H. Skiadas, Charilaos Skiadas, 2018-05-16 This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techniques focusing on demography, population aging, mortality and health sciences. The book describes diverse stochastic processes as well as Markov and semi-Markov models in demography and population studies, along with chapters on statistical models and methods in biostatistics and epidemiology. As such the book will be a valuable source to demographers, health scientists, statisticians, economists and sociologists. |
| biostatistics and epidemiology book: Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health David L. Katz, MD, MPH, Joann G. Elmore, MD, MPH, Dorothea Wild, Sean C Lucan, MD, MPH, MS, 2013-02-11 Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health is the only textbook that combines the disciplines of medical epidemiology, biostatistics, preventive medicine, and public health in one convenient resource. Written by renowned epidemiologists and public health experts, this text presents the information you need with a clinical focus, using real-life medical examples throughout. With review questions in each chapter to maximize knowledge retention and target key areas of review, it serves as an outstanding resource for USMLE prep - and is recommended by the American Board of Preventive Medicine as a top review source for its core specialty examination! Grasp and retain vital information easily thanks to quick-reference boxes that showcase key concepts and calculations; succinct text; and dynamic illustrations that facilitate learning in a highly visual approach. Spend more time reviewing and less time searching thanks to an extremely focused, high-yield presentation. Deepen your understanding of complex epidemiology and biostatistics concepts through clinically focused, real-life examples. Gauge your mastery of public health concepts and build confidence with case-based questions - now accessed online for a more interactive experience - that provide effective chapter review and help you target key areas for further study. Keep up with the very latest in public health and preventive health - areas that have shown great growth in recent years. New coverage includes the epidemiology of mental health disorders, disaster planning, health care reform, and the 'One Health' concept that highlights the indelible links among the health of people, other species, and the planet itself. Access the complete contents online at Student Consult, plus additional tables and images, supplemental information on the One Health Initiative, the latest childhood immunization schedules, chapter highlights in PowerPoint, 300 multiple-choice chapter review questions and answers, a 177-question comprehensive review exam, and more! |
| biostatistics and epidemiology book: Basic Epidemiology R. Bonita, R. Beaglehole, Tord Kjellström, World Health Organization, 2006 Basic epidemiology provides an introduction to the core principles and methods of epidemiology, with a special emphasis on public health applications in developing countries. This edition includes chapters on the nature and uses of epidemiology; the epidemiological approach to defining and measuring the occurrence of health-related states in populations; the strengths and limitations of epidemiological study designs; and the role of epidemiology in evaluating the effectiveness and efficiency of health care. The book has a particular emphasis on modifiable environmental factors and encourages the application of epidemiology to the prevention of disease and the promotion of health, including environmental and occupational health. |
| biostatistics and epidemiology book: Biostatistics in Public Health Using STATA Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, Camille Moreno-Gorrín, 2016-03-24 Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies. The book shares the authors’ insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA. Each chapter is based on one or more research problems linked to public health. Additionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. Presenting high-level statistics in an accessible manner across research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the statistical applications in public health. For readers new to STATA, the first three chapters should be read sequentially, as they form the basis of an introductory course to this software. |
| biostatistics and epidemiology book: Gordis Epidemiology David D Celentano ScD MHS, David D. Celentano, Moyses Szklo, 2018-12-10 |
| biostatistics and epidemiology book: Epidemiology in Medicine Julie E. Buring, 1987 Harvard Medical School, Boston. Textbook for medical and public health students. |
| biostatistics and epidemiology book: Modern Issues and Methods in Biostatistics Mark Chang, 2011-07-15 Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume. |
| biostatistics and epidemiology book: Surgical Arithmetic Lawrence Rosenberg, Lawrence Joseph (Ph.D.), Alan Barkun, 2000 Surgical Arithmetic offers practical guidelines for an epidemiological, statistical and outcomes-based approach to medical practice. While the many examples are mostly drawn from the surgical literature, the overall objective is to meet the growing challenge of making sense of what is known in order to maximize the utility of medical knowledge for clinicians in all specialties. The information in this book will enhance the surgeon's and other clinician's roles as an educated collaborator in research and medical decision-making. Epidemiology students will also find it an excellent source for most topics covered in a typical graduate program in epidemiology. |
| biostatistics and epidemiology book: High-yield Biostatistics, Epidemiology, and Public Health Anthony N. Glaser, 2014 This Fourth Edition provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with High-Yield Points that help students focus on the most important USMLE Step 1 facts. The High-Yield outline format, with tables, diagrams, photographs, and images to clarify important material, provides a concentrated, efficient review for both course exams and the USMLE. |
Biostatistics - Wikipedia
Biostatistics (also known as biometry) is a branch of statistics that applies statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the …
Biostatistics - Oxford Academic
Biostatistics is an online only journal publishing papers that develop innovative statistical methods with applications to the understanding of human health and disease, including basic biomedical …
Biostatistics | Johns Hopkins Bloomberg School of Public Health
The Johns Hopkins Biostatistics Center (JHBC) provides comprehensive biostatistical and data management services for Bloomberg students as well as researchers inside and outside the …
What is Biostatistics? | Biostatistics
Biostatisticians use statistical methods and techniques to improve the health of people and communities. They help answer pressing research questions in medicine, biology and public …
What Is a Biostatistician? 2025 Career Guide | Coursera
Nov 22, 2024 · Biostatisticians are data collectors and analysts who focus on biology for fields such as medicine, agriculture, and public health. Working at the intersection of health and data …
Introduction to Biostatistics. Applications of Biostatistics ...
What is Biostatistics? Biostatistics is a branch of biological science which deals with the study and methods of collection, presentation, analysis and interpretation of data of biological research. …
Biostatistics Series Module 1: Basics of Biostatistics - PMC
Biostatistics begins with descriptive statistics that implies summarizing a collection of data from a sample or population. Categorical data are described in terms of percentages or proportions.
What is Biostatistics? - California State University, East Bay
Biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine, biology, and public health, and the development of new tools to study these …
Biostatistics Fundamentals : Everything You Need to Know
At its core, biostatistics marries statistical methodologies with biological, medical, and health-related data. It embraces diverse disciplines such as epidemiology, genetics, medicine, and …
Understanding Biostatistics Interpretation - StatPearls - NCBI …
Mar 13, 2023 · Statistical results can be used to make inferences about the probability of an event among a given population. Careful interpretation by the clinician is required to determine the …
Biostatistics - Wikipedia
Biostatistics (also known as biometry) is a branch of statistics that applies statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the …
Biostatistics - Oxford Academic
Biostatistics is an online only journal publishing papers that develop innovative statistical methods with applications to the understanding of human health and disease, including basic biomedical …
Biostatistics | Johns Hopkins Bloomberg School of Public Health
The Johns Hopkins Biostatistics Center (JHBC) provides comprehensive biostatistical and data management services for Bloomberg students as well as researchers inside and outside the …
What is Biostatistics? | Biostatistics
Biostatisticians use statistical methods and techniques to improve the health of people and communities. They help answer pressing research questions in medicine, biology and public …
What Is a Biostatistician? 2025 Career Guide | Coursera
Nov 22, 2024 · Biostatisticians are data collectors and analysts who focus on biology for fields such as medicine, agriculture, and public health. Working at the intersection of health and data …
Introduction to Biostatistics. Applications of Biostatistics ...
What is Biostatistics? Biostatistics is a branch of biological science which deals with the study and methods of collection, presentation, analysis and interpretation of data of biological research. …
Biostatistics Series Module 1: Basics of Biostatistics - PMC
Biostatistics begins with descriptive statistics that implies summarizing a collection of data from a sample or population. Categorical data are described in terms of percentages or proportions.
What is Biostatistics? - California State University, East Bay
Biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine, biology, and public health, and the development of new tools to study these …
Biostatistics Fundamentals : Everything You Need to Know
At its core, biostatistics marries statistical methodologies with biological, medical, and health-related data. It embraces diverse disciplines such as epidemiology, genetics, medicine, and …
Understanding Biostatistics Interpretation - StatPearls - NCBI …
Mar 13, 2023 · Statistical results can be used to make inferences about the probability of an event among a given population. Careful interpretation by the clinician is required to determine the …
