Affiliation:
1. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
Abstract
The power of the two-experimental arm trial depends on three choices: (1) when one arm is dropped (if at all); (2) the final testing procedure, assuming no dropping; and (3) the sampling ratio for the three arms. Multiple-arm designs require critical values which were calculated using Mathematica. Power calculations were exact based on probabilities from binomial distributions. The “drop the loser” strategy is optimal for the primary endpoint. The equal sized two treated arm trial gives reasonable power for the primary as well as good power to select the best treated arm. The best power was provided by the 3:3:4 sampling, but it was only marginally better.
Subject
Health Information Management,Statistics and Probability,Epidemiology
Cited by
3 articles.
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