Biostatistics in public health using STATA / Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, Camille Moreno-Gorrín.

Author
Suárez Pérez, Erick L., 1953- [Browse]
Format
Book
Language
English
Published/​Created
  • Boca Raton, FL : CRC Press/Taylor & Francis, [2016]
  • ©2016
Description
1 online resource

Availability

Details

Subject(s)
Author
Series
Online access with DDA: Askews (Medicine) [More in this series]
Summary note
"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"--Publisher's summary.
Bibliographic references
Includes bibliographical references and index.
Source of description
Print version record.
Contents
  • Basic commands
  • 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
  • Introduction to advanced programming in STATA.
ISBN
  • 9781498722025 ((electronic bk.))
  • 1498722024 ((electronic bk.))
OCLC
945552812
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