9781498721998-1498721990-Biostatistics in Public Health Using STATA

Biostatistics in Public Health Using STATA

ISBN-13: 9781498721998
ISBN-10: 1498721990
Edition: 1
Author: Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, Camille Moreno-Gorrín
Publication date: 2016
Publisher: CRC Press
Format: Hardcover 206 pages
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Book details

ISBN-13: 9781498721998
ISBN-10: 1498721990
Edition: 1
Author: Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, Camille Moreno-Gorrín
Publication date: 2016
Publisher: CRC Press
Format: Hardcover 206 pages

Summary

Biostatistics in Public Health Using STATA (ISBN-13: 9781498721998 and ISBN-10: 1498721990), written by authors Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, Camille Moreno-Gorrín, was published by CRC Press in 2016. With an overall rating of 3.6 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Biostatistics in Public Health Using STATA (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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