Group sequential t-test for clinical trials with small sample sizes across stages

Contemporary Clinical Trials

Volumn 28, Issue 5, 2007, Pages 563-571

  Shao, Jun ^a   Feng, Huaibao ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

Interim analysis; Sample size; Simulation; t statistic; Type I error rate

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CLINICAL TRIAL; MONTE CARLO METHOD; SAMPLE SIZE; SIMULATION; STATISTICAL ANALYSIS; STUDENT T TEST;

CLINICAL TRIALS; DATA INTERPRETATION, STATISTICAL; HUMANS; MONTE CARLO METHOD; RESEARCH DESIGN; SAMPLE SIZE;

EID: 34547688958     PISSN: 15517144     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cct.2007.02.006     Document Type: Article

References (9)

1. Armitage P., McPherson C.K., and Rowe B.C. Repeated significance tests on accumulating data. J Royal Stat Soc A 132 (1969) 235-244
2. Geller N.L., and Pocock S.J. Interim analysis in randomized clinical trials: ramifications and guidelines for practitioners. Biometrics 43 (1987) 213-223
3. Heart Special Project Committee. Organization, review and administration of cooperative studies (Greenberg report): a report from the Heart Special Project Committee to the National Advisory Council. Control Clin Trials 9 (1988) 137-148
4. Jennison C., and Turnbull B.W. Group sequential methods with applications to clinical trials (2000), Chapman & Hall/CRC, London
5. Lan K.K.G., and DeMets D.L. Discrete sequential boundaries for clinical trials. Biometrika 70 (1983) 659-663
6. McPherson C.K. Statistics: the problem of examining accumulating data more than once. New Engl J Med 290 (1974) 501-502
7. O'Brien P.C., and Fleming T.R. A multiple testing procedure for clinical trials. Biometrics 35 (1979) 549-556
8. Pocock S.J. Group sequential methods in the design and analysis of clinical trials. Biometrika 64 2 (1977) 191-199
9. Wang S.K., and Tsiatis A.A. Approximately optimal one-parameter boundaries for group sequential trials. Biometrics 43 (1987) 193-200