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Introduction to Regression Methods for Public Health Using R

Af: Ramzi W. Nahhas Engelsk Hardback

Introduction to Regression Methods for Public Health Using R

Af: Ramzi W. Nahhas Engelsk Hardback
Tjek vores konkurrenters priser

Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool. Regression is a useful tool for understanding the associations between an outcome and a set of explanatory variables, and regression methods are commonly used in many fields, including epidemiology, public health, and clinical research. The focus of this book is on understanding and fitting regression models, diagnosing model fit, and interpreting and writing up results. Examples are drawn from public health and clinical studies. Designed for students, researchers, and practitioners with a basic understanding of introductory statistics, this book teaches the basics of regression and how to implement regression methods using R, allowing the reader to enhance their understanding and begin to grasp new concepts and models.

The text includes an overview of regression (Chapter 2); how to examine and summarize the data (Chapter 3), simple (Chapter 4) and multiple (Chapter 5) linear regression; binary, ordinal, and conditional logistic regression, and log-binomial regression (Chapter 6); Cox proportional hazards regression (survival analysis) (Chapter 7); handling data arising from a complex survey design (Chapter 8); and multiple imputation of missing data (Chapter 9). Each chapter closes with a comprehensive set of exercises.

Key Features:

  • Comprehensive coverage of the most commonly used regression methods, as well as how to use regression with complex survey data or missing data
  • Accessible to those with only a first course in statistics
  • Serves as a course textbook, as well as a reference for public health and clinical researchers seeking to learn regression and/or how to use R to do regression analyses
  • Includes examples of how to diagnose the fit of a regression model
  • Includes examples of how to summarize, visualize, table, and write up the results
  • Includes R code to run the examples
Tjek vores konkurrenters priser
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kr 907
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool. Regression is a useful tool for understanding the associations between an outcome and a set of explanatory variables, and regression methods are commonly used in many fields, including epidemiology, public health, and clinical research. The focus of this book is on understanding and fitting regression models, diagnosing model fit, and interpreting and writing up results. Examples are drawn from public health and clinical studies. Designed for students, researchers, and practitioners with a basic understanding of introductory statistics, this book teaches the basics of regression and how to implement regression methods using R, allowing the reader to enhance their understanding and begin to grasp new concepts and models.

The text includes an overview of regression (Chapter 2); how to examine and summarize the data (Chapter 3), simple (Chapter 4) and multiple (Chapter 5) linear regression; binary, ordinal, and conditional logistic regression, and log-binomial regression (Chapter 6); Cox proportional hazards regression (survival analysis) (Chapter 7); handling data arising from a complex survey design (Chapter 8); and multiple imputation of missing data (Chapter 9). Each chapter closes with a comprehensive set of exercises.

Key Features:

  • Comprehensive coverage of the most commonly used regression methods, as well as how to use regression with complex survey data or missing data
  • Accessible to those with only a first course in statistics
  • Serves as a course textbook, as well as a reference for public health and clinical researchers seeking to learn regression and/or how to use R to do regression analyses
  • Includes examples of how to diagnose the fit of a regression model
  • Includes examples of how to summarize, visualize, table, and write up the results
  • Includes R code to run the examples
Produktdetaljer
Sprog: Engelsk
Sider: 442
ISBN-13: 9781032203072
Indbinding: Hardback
Udgave:
ISBN-10: 1032203072
Udg. Dato: 19 dec 2024
Længde: 32mm
Bredde: 186mm
Højde: 264mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 19 dec 2024
Forfatter(e): Ramzi W. Nahhas
Forfatter(e) Ramzi W. Nahhas


Kategori Social forskning og statistik


ISBN-13 9781032203072


Sprog Engelsk


Indbinding Hardback


Sider 442


Udgave


Længde 32mm


Bredde 186mm


Højde 264mm


Udg. Dato 19 dec 2024


Oplagsdato 19 dec 2024


Forlag Taylor & Francis Ltd