Sample size estimation in phase III cancer clinical trials

1999 ◽  
Vol 25 (3) ◽  
pp. 244-250 ◽  
Author(s):  
D. Curran ◽  
R.J. Sylvester ◽  
G. Hoctin Boes
1996 ◽  
Vol 14 (4) ◽  
pp. 1364-1370 ◽  
Author(s):  
S L George

PURPOSE To discuss patient eligibility criteria in phase III cancer clinical trials in the larger setting of the complexity of these trials, to review the various reasons for imposing restrictive eligibility requirements, to discuss the problems caused by these requirements, to argue that these requirements should be greatly relaxed in most cancer clinical trials, to provide some guiding principles and practical suggestions to facilitate such a relaxation, and to give an example of how eligibility requirements were reduced in a recent clinical trial in acute lymphocytic leukemia. METHODS Implicit and explicit reasons for including eligibility criteria in clinical trials are reviewed. Safety concerns and sample size issues receive special attention. The types of problems restrictive eligibility criteria cause with respect to scientific interpretation, medical applicability, complexity, costs, and patient accrual are described. RESULTS A list of three items that each eligibility criterion should meet in order to be included is proposed and applied to a recent trial in acute lymphocytic leukemia. CONCLUSION Phase III clinical trials in cancer should have much broader eligibility criteria than the traditionally restrictive criteria commonly used. Adoption of less restrictive eligibility criteria for most studies would allow broader generalizations, better mimic medical practice, reduce complexity and costs, and permit more rapid accrual without compromising patient safety or requiring major increases in sample size.


2014 ◽  
Vol 24 (2) ◽  
pp. 254-271 ◽  
Author(s):  
Yuh-Jenn Wu ◽  
Te-Sheng Tan ◽  
Shein-Chung Chow ◽  
Chin-Fu Hsiao

2021 ◽  
Vol 17 (S9) ◽  
Author(s):  
Guoqiao Wang ◽  
Yan Li ◽  
Chengjie Xiong ◽  
Tammie L.S. Benzinger ◽  
Brian A. Gordon ◽  
...  

2017 ◽  
Vol 28 (1) ◽  
pp. 117-133 ◽  
Author(s):  
Thomas Asendorf ◽  
Robin Henderson ◽  
Heinz Schmidli ◽  
Tim Friede

We consider modelling and inference as well as sample size estimation and reestimation for clinical trials with longitudinal count data as outcomes. Our approach is general but is rooted in design and analysis of multiple sclerosis trials where lesion counts obtained by magnetic resonance imaging are important endpoints. We adopt a binomial thinning model that allows for correlated counts with marginal Poisson or negative binomial distributions. Methods for sample size planning and blinded sample size reestimation for randomised controlled clinical trials with such outcomes are developed. The models and approaches are applicable to data with incomplete observations. A simulation study is conducted to assess the effectiveness of sample size estimation and blinded sample size reestimation methods. Sample sizes attained through these procedures are shown to maintain the desired study power without inflating the type I error. Data from a recent trial in patients with secondary progressive multiple sclerosis illustrate the modelling approach.


Sign in / Sign up

Export Citation Format

Share Document