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Biostatistics For Epidemiologists
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Book Synopsis Biostatistics for Epidemiologists by : Anders Ahlbom
Download or read book Biostatistics for Epidemiologists written by Anders Ahlbom and published by CRC Press. This book was released on 2017-11-22 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Basic Biostatistics for Geneticists and Epidemiologists by : Robert C. Elston
Download or read book Basic Biostatistics for Geneticists and Epidemiologists written by Robert C. Elston and published by John Wiley & Sons. This book was released on 2008-11-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Epidemiology, Biostatistics, and Preventive Medicine by : James F. Jekel
Download or read book Epidemiology, Biostatistics, and Preventive Medicine written by James F. Jekel and published by Elsevier Health Sciences. This book was released on 2007-01-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: You'll find the latest on healthcare policy and financing, infectious diseases, chronic disease, and disease prevention technology.
Book Synopsis SAS for Epidemiologists by : Charles DiMaggio
Download or read book SAS for Epidemiologists written by Charles DiMaggio and published by Springer Science & Business Media. This book was released on 2012-10-25 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.
Book Synopsis Statistics for Epidemiology by : Nicholas P. Jewell
Download or read book Statistics for Epidemiology written by Nicholas P. Jewell and published by CRC Press. This book was released on 2003-08-26 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Methods in Epidemiology by : Harold A. Kahn
Download or read book Statistical Methods in Epidemiology written by Harold A. Kahn and published by Monographs in Epidemiology and. This book was released on 1989 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes. An appendix of data from the Framingham Heart Study is used to illustrate the application of various analytical methods to an identical set of real data and provides source material for student exercises. The text has been updated throughout.
Book Synopsis Statistical Analysis of Epidemiologic Data by : S. Selvin
Download or read book Statistical Analysis of Epidemiologic Data written by S. Selvin and published by Oxford University Press, USA. This book was released on 1996 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines applied and theoretical approaches to the analysis of epidemiologic issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less usual areas such as the analysis of spatial distributions, survival data, proportional hazards regression, and "computer-intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. Using actual data demonstrates the strengths and weaknesses of different analytic approaches in describing a disease process. The goal of the book is to allow the reader to develop a clear understanding of analytic approaches to problems in epidemiologic data analysis without relying on sophisticated mathematics and advanced statistical theory. For the Second Edition a new chapter on the analysis of matched data has been added. This covers both discrete and continuous outcomes and explains both the classic analytic approach and the conditional logistic regression model. New sections have also been added on contingency table data, misclassification, and additive models underlying tabular data. In all the chapters there are new applications and other revisions that make this Second Edition a clearer and more helpful exposition of the way statistical tools are used to analyze epidemiologic data.
Book Synopsis Bayesian Methods in Epidemiology by : Lyle D. Broemeling
Download or read book Bayesian Methods in Epidemiology written by Lyle D. Broemeling and published by CRC Press. This book was released on 2013-08-13 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint. It employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online. The book examines study designs that investigate the association between exposure to risk factors and the occurrence of disease. It covers introductory adjustment techniques to compare mortality between states and regression methods to study the association between various risk factors and disease, including logistic regression, simple and multiple linear regression, categorical/ordinal regression, and nonlinear models. The text also introduces a Bayesian approach for the estimation of survival by life tables and illustrates other approaches to estimate survival, including a parametric model based on the Weibull distribution and the Cox proportional hazards (nonparametric) model. Using Bayesian methods to estimate the lead time of the modality, the author explains how to screen for a disease among individuals that do not exhibit any symptoms of the disease. With many examples and end-of-chapter exercises, this book is the first to introduce epidemiology from a Bayesian perspective. It shows epidemiologists how these Bayesian models and techniques are useful in studying the association between disease and exposure to risk factors.
Download or read book Epidemiology written by Mark Woodward and published by CRC Press. This book was released on 2013-12-19 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Biostatistics for Epidemiology and Public Health Using R by : Bertram K.C. Chan, PhD
Download or read book Biostatistics for Epidemiology and Public Health Using R written by Bertram K.C. Chan, PhD and published by Springer Publishing Company. This book was released on 2015-11-05 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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-by-step 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 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. Also included are an instructor's guide, student solutions manual, and downloadable data sets. 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 to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes instructor's guide, student solutions manual, and downloadable data sets.
Book Synopsis Applied Epidemiology and Biostatistics by : Giuseppe La Torre
Download or read book Applied Epidemiology and Biostatistics written by Giuseppe La Torre and published by SEEd. This book was released on 2010-11-25 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health by : David L. Katz, MD, MPH
Download or read book Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health written by David L. Katz, MD, MPH and published by Elsevier Health Sciences. This book was released on 2013-02-11 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!
Book Synopsis Nutritional Epidemiology by : Walter Willett
Download or read book Nutritional Epidemiology written by Walter Willett and published by Oxford University Press, USA. This book was released on 1990 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview of Nutritional Epidemiology; Foods and Nutrients; Nature of Variation in Diet; Short Term Dietary Recall and Recording Methods; Food Frequency Methods; Reproducibility and Validity of Food Questionnaries; Recall of Remote Diet; Surrogate Sources of Dietary Information; Anthropometric Measures and Body Composition; Implications of Total Energy Intake for Epidemiologic Analyses; Correction for the Effects of Measurement Error; Vitamin A and Lung Cancer; Dietary Fat and Breast Cancer; Diet and Coronary Heart Disease; Future Research Directions.
Book Synopsis Surgical Arithmetic by : Lawrence Rosenberg
Download or read book Surgical Arithmetic written by Lawrence Rosenberg and published by CRC Press. This book was released on 2000-01-01 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for the practicing surgeon. It is designed to offer practical insights into the essentials of an epidemiological, statistical and outcomes-based approach to surgical practice. Surgeons are invited to begin to develop the requisite skills that will allow them to communicate effectively with their colleagues in epidemiology and
Book Synopsis Epidemiology with R by : Bendix Carstensen
Download or read book Epidemiology with R written by Bendix Carstensen and published by Oxford University Press, USA. This book was released on 2021-01-14 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiological context and exploit its versatility. It also serves as a broader introduction to the quantitative aspects of modern practical epidemiology. The standard tools used in epidemiology are described and the practical use of R for these is clearly explained and laid out. R code examples, many with output, are embedded throughout the text. The entire code is also available on the companion website so that readers can reproduce all the results and graphs featured in the book. Epidemiology with R is an advanced textbook suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of human and non-human epidemiology, public health, veterinary science, and biostatistics.
Book Synopsis Statistics in Epidemiology by : Hardeo Sahai
Download or read book Statistics in Epidemiology written by Hardeo Sahai and published by CRC Press. This book was released on 1995-12-21 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epidemiologic studies provide research strategies for investigating public health and scientific questions relating to the factors that cause and prevent ailments in human populations. Statistics in Epidemiology: Methods, Techniques and Applications presents a comprehensive review of the wide range of principles, methods and techniques underlying prospective, retrospective and cross-sectional approaches to epidemiologic studies. Written for epidemiologists and other researchers without extensive backgrounds in statistics, this new book provides a clear and concise description of the statistical tools used in epidemiology. Emphasis is given to the application of these statistical tools, and examples are provided to illustrate direct methods for applying common statistical techniques in order to obtain solutions to problems. Statistics in Epidemiology: Methods, Techniques and Applications goes beyond the elementary material found in basic epidemiology and biostatistics books and provides a detailed account of techniques:
Book Synopsis A Dictionary of Epidemiology by : Miquel S. Porta
Download or read book A Dictionary of Epidemiology written by Miquel S. Porta and published by Oxford University Press. This book was released on 2014 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition is the most updated since its inception, is the essential text for students and professionals working in and around epidemiology or using its methods. It covers subject areas - genetics, clinical epidemiology, public health practice/policy, preventive medicine, health promotion, social sciences and methods for clinical research.
