Global Assessment Variables

Barbara C. Tilley, Peng Huang, Peter C. O'Brien

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Global statistical tests (GSTs) and associated global treatment effects (GTEs) summarize a treatment's global benefit without the need of performing multiple univariate tests for individual outcomes. This chapter discusses different versions of GSTs. Some of the GST's discussed in the chapter include: rank-sum-type GST; adjusted rank-sum-type GST; likelihood ratio (LR)-Based GST; and Follmann's GST. The main rationale for using a global outcome in a clinical trial is that, by providing a more comprehensive and thus more informative assessment of the patient, it also provides a more clinically meaningful primary endpoint than use of any single variable by itself. Two other approaches for using multiple endpoints in the primary analysis of a clinical trial are the T2 statistic and use of multiple comparison procedures.

Original languageEnglish (US)
Title of host publicationConcepts, Principles, Trials, and Designs
Publisherwiley
Pages423-437
Number of pages15
Volume1
ISBN (Electronic)9781118596005
ISBN (Print)9781118595923
DOIs
StatePublished - Sep 26 2014

Keywords

  • Clinical trial
  • Global assessment variables
  • Global statistical tests (GSTs)
  • Global treatment effects (GTEs)

ASJC Scopus subject areas

  • Medicine(all)

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