Power calculations for preclinical studies using a K-sample rank test and the Lehmann alternative hypothesis Journal Article
| Author: | Heller, G. |
| Article Title: | Power calculations for preclinical studies using a K-sample rank test and the Lehmann alternative hypothesis |
| Abstract: | Power calculations in a small sample comparative study, with a continuous outcome measure, are typically undertaken using the asymptotic distribution of the test statistic. When the sample size is small, this asymptotic result can be a poor approximation. An alternative approach, using a rank based test statistic, is an exact power calculation. When the number of groups is greater than two, the number of calculations required to perform an exact power calculation is prohibitive. To reduce the computational burden, a Monte Carlo resampling procedure is used to approximate the exact power function of a k-sample rank test statistic under the family of Lehmann alternative hypotheses. The motivating example for this approach is the design of animal studies, where the number of animals per group is typically small. Copyright © 2005 John Wiley & Sons, Ltd. |
| Keywords: | survival; nonhuman; outcome assessment; methodology; animals; mice; randomized controlled trials as topic; drug evaluation, preclinical; experimental animal; randomized controlled trials; neoplasms, experimental; clinical research; mathematical computing; biostatistics; rank sum test; sample size; monte carlo method; calculation; hypothesis; statistical distribution; kappa statistics; power analysis; animal study design; exact test; permutation distribution; sample size calculation |
| Journal Title: | Statistics in Medicine |
| Volume: | 25 |
| Issue: | 15 |
| ISSN: | 0277-6715 |
| Publisher: | John Wiley & Sons |
| Date Published: | 2006-08-15 |
| Start Page: | 2543 |
| End Page: | 2553 |
| Language: | English |
| DOI: | 10.1002/sim.2268 |
| PUBMED: | 16025543 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | --- - "Export Date: 4 June 2012" - "CODEN: SMEDD" - "Source: Scopus" |
