Prognostic Factor Analyses

Liang Li

doi:10.1007/978-3-319-52636-2_121

Prognostic Factor Analyses

Liang Li

Biostatistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Prognostic factor analysis refers to the adjustment of covariates when comparing treatments in a randomized clinical trial. This chapter covers various methodological issues related to prognostic factor analysis, including its importance to the randomization and primary analysis of the trial, statistical model building, selection of prognostic factors, and the study of interactions and subgroups, among others. Methodological discussion is illustrated with data examples, and some commonly made mistakes in statistical practice are identified and discussed. This chapter is intended to provide readers with practical advice on how to use prognostic factors in the design, analysis, and reporting of randomized clinical trials.

Original language	English (US)
Title of host publication	Principles and Practice of Clinical Trials
Publisher	Springer International Publishing
Pages	1771-1787
Number of pages	17
ISBN (Electronic)	9783319526362
ISBN (Print)	9783319526355
DOIs	https://doi.org/10.1007/978-3-319-52636-2_121
State	Published - Jan 1 2022

Keywords

Analysis of covariance
ANCOVA
Baseline covariate
Covariate adjustment
Regression model
Stratified analysis
Stratified randomization
Subgroup analysis

ASJC Scopus subject areas

General Medicine
General Mathematics

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10.1007/978-3-319-52636-2_121

Cite this

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KW - Covariate adjustment

KW - Regression model

KW - Stratified analysis

KW - Stratified randomization

KW - Subgroup analysis

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Prognostic Factor Analyses

Abstract

Keywords

ASJC Scopus subject areas

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