Logistic Regression and Related Methods

Márcio A. Diniz; Tiago M. Magalhães

doi:10.1007/978-3-319-52636-2_122

Logistic Regression and Related Methods

Márcio A. Diniz, Tiago M. Magalhães

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

Inference on binary outcomes is a common goal in clinical trials and case-control studies. Logistic regression is the usual approach to estimate treatment effect adjusted for categorical and continuous confounding variables. In this chapter, model building, interpretation of parameters, diagnostics, and inference to small sample sizes are discussed. At last, a case study is presented applying the proposed analytic strategies.

Original language	English
Title of host publication	Principles and Practice of Clinical Trials
Publisher	Springer International Publishing
Pages	1789-1811
Number of pages	23
ISBN (Electronic)	9783319526362
ISBN (Print)	9783319526355
DOIs	https://doi.org/10.1007/978-3-319-52636-2_122
State	Published - 1 Jan 2022
Externally published	Yes

Keywords

Binary response
Case-control study
Cohort studies
Odds ratio

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10.1007/978-3-319-52636-2_122

Cite this

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Logistic Regression and Related Methods

Abstract

Keywords

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