BOOK-CHAPTER

Proportional Hazards Regression

Daniel Zelterman

Year: 2022 Cambridge University Press eBooks Pages: 245-255   Publisher: Cambridge University Press

Abstract

This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at www.cambridge.org/zelterman

Keywords:
Interpretation (philosophy) Logistic regression Poisson regression Computer science Regression analysis Linear regression Code (set theory) Statistics Regression Nonparametric regression Proportional hazards model Nonparametric statistics Econometrics Mathematics Medicine Programming language Environmental health

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.16
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Statistical Methods in Epidemiology
Physical Sciences →  Mathematics →  Statistics and Probability

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