Biostatistics in Public Health Using STATA, Su?rez, Erick L. , P?rez, Cynthia M. , Nogueras,

Автор: Suarez, Erick L. Perez, Cynthia M. Nogueras, Graciela M. Moreno-gorrin, Camille
Название: Biostatistics in public health using stata
ISBN: 1498721990 ISBN-13(EAN): 9781498721998
Издательство: Taylor&Francis
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Описание:

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.

Автор: Chan
Название: Biostatistics For Epidemiology And Public Health Using R
ISBN: 0826110258 ISBN-13(EAN): 9780826110251
Издательство: Mare Nostrum (Eurospan)
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Цена: 15662.00 р.
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Описание: 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.

Автор: Rosner, Bernard
Название: Fundamentals of Biostatistics, 8 ed.
ISBN: 130526892X ISBN-13(EAN): 9781305268920
Издательство: Cengage Learning
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Описание: FUNDAMENTALS OF BIOSTATISTICS leads you through the methods, techniques, and computations of statistics necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.

Автор: Goodman
Название: Biostatistics For Clinical & Public
ISBN: 1498784801 ISBN-13(EAN): 9781498784801
Издательство: Taylor&Francis
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Цена: 26796.00 р.
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Описание: This book provides a concise overview of statistical analysis methods for the clinical and public health practitioner. It teaches statistical models without all the theory. Use of SAS software is illustrated in full, including how to interpret results. Includes exercises, case studies, take-away points, and data sets.

Автор: Fang Ji-Qian
Название: Handbook Of Medical Statistics
ISBN: 9813148950 ISBN-13(EAN): 9789813148956
Издательство: World Scientific Publishing
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Цена: 35165.00 р.
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Описание:

This unique volume focuses on the "tools" of medical statistics. It contains over 500 concepts or methods, all of which are explained very clearly and in detail.

Each chapter focuses on a specific field and its applications. There are about 20 items in each chapter with each item independent of one another and explained within one page (plus references). The structure of the book makes it extremely handy for solving targeted problems in this area.

As the goal of the book is to encourage students to learn more combinatorics, every effort has been made to provide them with a not only useful, but also enjoyable and engaging reading.

This handbook plays the role of "tutor" or "advisor" for teaching and further learning. It can also be a useful source for "MOOC-style teaching."

Автор: Jos W. R. Twisk
Название: Applied Mixed Model Analysis: A Practical Guide
ISBN: 110872776X ISBN-13(EAN): 9781108727761
Издательство: Cambridge Academ
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Описание: This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

Автор: Lalanne, Christophe
Название: Biostatistics and Computer-based Analysis of Health Data using St
ISBN: 1785481428 ISBN-13(EAN): 9781785481420
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание: This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples.Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology.Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis).The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands.