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Biostatistics for Epidemiologists

2017-11-22 Medical
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Release : 2017-11-22
Genre : Medical
Kind : eBook
Book Rating : 667/5 ( reviews)

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Book Synopsis Biostatistics for Epidemiologists by : Anders Ahlbom

Download or read book Biostatistics for Epidemiologists written by Anders Ahlbom. This book was released on 2017-11-22. 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.

Basic Biostatistics for Geneticists and Epidemiologists

2008-11-20 Medical
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Release : 2008-11-20
Genre : Medical
Kind : eBook
Book Rating : 917/5 ( reviews)

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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. This book was released on 2008-11-20. 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.

Epidemiology, Biostatistics, and Preventive Medicine

2007-01-01 Medical
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Release : 2007-01-01
Genre : Medical
Kind : eBook
Book Rating : 96X/5 ( reviews)

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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. This book was released on 2007-01-01. 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.

Statistics for Epidemiology

2003-08-26 Medical
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Release : 2003-08-26
Genre : Medical
Kind : eBook
Book Rating : 868/5 ( reviews)

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Book Synopsis Statistics for Epidemiology by : Nicholas P. Jewell

Download or read book Statistics for Epidemiology written by Nicholas P. Jewell. This book was released on 2003-08-26. 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.

SAS for Epidemiologists

2012-10-25 Mathematics
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Release : 2012-10-25
Genre : Mathematics
Kind : eBook
Book Rating : 549/5 ( reviews)

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Book Synopsis SAS for Epidemiologists by : Charles DiMaggio

Download or read book SAS for Epidemiologists written by Charles DiMaggio. This book was released on 2012-10-25. 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.

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