Sample size calculation for simulation-based multiple-testing procedures.
Publication
, Journal Article
Bang, H; Jung, S-H; George, SL
Published in: J Biopharm Stat
2005
In this article, we present a simple method to calculate sample size and power for a simulation-based multiple testing procedure which gives a sharper critical value than the standard Bonferroni method. The method is especially useful when several highly correlated test statistics are involved in a multiple-testing procedure. The formula for sample size calculation will be useful in designing clinical trials with multiple endpoints or correlated outcomes. We illustrate our method with a quality-of-life study for patients with early stage prostate cancer. Our method can also be used for comparing multiple independent groups.
Duke Scholars
Published In
J Biopharm Stat
DOI
ISSN
1054-3406
Publication Date
2005
Volume
15
Issue
6
Start / End Page
957 / 967
Location
England
Related Subject Headings
- Treatment Outcome
- Statistics & Probability
- Sample Size
- Research Design
- Quality of Life
- Prostatic Neoplasms
- Models, Statistical
- Male
- Humans
- Data Interpretation, Statistical
Citation
APA
Chicago
ICMJE
MLA
NLM
Bang, H., Jung, S.-H., & George, S. L. (2005). Sample size calculation for simulation-based multiple-testing procedures. J Biopharm Stat, 15(6), 957–967. https://doi.org/10.1080/10543400500265710
Bang, Heejung, Sin-Ho Jung, and Stephen L. George. “Sample size calculation for simulation-based multiple-testing procedures.” J Biopharm Stat 15, no. 6 (2005): 957–67. https://doi.org/10.1080/10543400500265710.
Bang H, Jung S-H, George SL. Sample size calculation for simulation-based multiple-testing procedures. J Biopharm Stat. 2005;15(6):957–67.
Bang, Heejung, et al. “Sample size calculation for simulation-based multiple-testing procedures.” J Biopharm Stat, vol. 15, no. 6, 2005, pp. 957–67. Pubmed, doi:10.1080/10543400500265710.
Bang H, Jung S-H, George SL. Sample size calculation for simulation-based multiple-testing procedures. J Biopharm Stat. 2005;15(6):957–967.
Published In
J Biopharm Stat
DOI
ISSN
1054-3406
Publication Date
2005
Volume
15
Issue
6
Start / End Page
957 / 967
Location
England
Related Subject Headings
- Treatment Outcome
- Statistics & Probability
- Sample Size
- Research Design
- Quality of Life
- Prostatic Neoplasms
- Models, Statistical
- Male
- Humans
- Data Interpretation, Statistical