Statistical analysis of clinical trials

Sylvia Wassertheil-Smoller, Mimi Kim

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The randomized clinical trial is widely viewed to be the gold standard for evaluation of treatments, diagnostic procedures, or disease screening. The proper design and analysis of a clinical trial requires careful consideration of the study objectives (eg, whether to demonstrate treatment superiority or noninferiority) and the nature of the primary end point. Different statistical methods apply when the end point variable is discrete (counts), continuous (measurements), or time to event (survival analysis). Other complicating factors include patient noncompliance, loss to follow-up, missing data, and multiple comparisons when more than 2 treatments are evaluated in the same study. This article provides an overview of the basic statistical approaches for analyzing clinical trials with binary, continuous or time-to-event outcomes as well as methods for handling protocol deviations due to noncompliance and early drop-out. Issues surrounding the determination of sample size and power of clinical trials are also discussed.

Original languageEnglish (US)
Pages (from-to)357-363
Number of pages7
JournalSeminars in Nuclear Medicine
Volume40
Issue number5
DOIs
StatePublished - 2010

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Clinical Trials
Survival Analysis
Patient Compliance
Sample Size
Randomized Controlled Trials
Power (Psychology)

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Statistical analysis of clinical trials. / Wassertheil-Smoller, Sylvia; Kim, Mimi.

In: Seminars in Nuclear Medicine, Vol. 40, No. 5, 2010, p. 357-363.

Research output: Contribution to journalArticle

Wassertheil-Smoller, Sylvia ; Kim, Mimi. / Statistical analysis of clinical trials. In: Seminars in Nuclear Medicine. 2010 ; Vol. 40, No. 5. pp. 357-363.
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