Title

Sample Size Determination For Clinical Trials In Patients With Nonlinear Disease Progression

Keywords

Longitudinal trial; Nonlinear disease progression; Sample size; Study duration; Within-patient correlation

Abstract

This paper provides explicit sample size determination formulas for planning a long-term trial in patients with chronic disease by using available results from existing short-term studies that may predict long-term disease progression patterns. The sample size calculation formulas are flexible to incorporate different nonlinear disease progression patterns. Various within-patient correlation structures are considered. By using the proposed formulas, sample size sensitivity can be easily explored for possible choices of study duration, assumed nonlinear disease progression patterns, randomization ratio, and expected clinical meaningful difference in the end of study. In addition, sample size calculation formulas are provided when the primary endpoint is change from baseline. Discussions on the relationship among required sample size, study duration, randomization ratio are also included. Copyright © Taylor & Francis, LLC.

Publication Date

1-1-2006

Publication Title

Journal of Biopharmaceutical Statistics

Volume

16

Issue

1

Number of Pages

91-105

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/10543400500406579

Socpus ID

30344467803 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/30344467803

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