Interim analyses in clinical trials: Classical vs. bayesian approaches
1985; Wiley; Volume: 4; Issue: 4 Linguagem: Inglês
10.1002/sim.4780040412
ISSN1097-0258
Autores Tópico(s)Optimal Experimental Design Methods
ResumoAbstract This paper concerns interim analysis in clinical trials involving two treatments from the points of view of both classical and Bayesian inference. I criticize classical hypothesis testing in this setting and describe and recommend a Bayesian approach in which sampling stops when the probability that one treatment is the better exceeds a specified value. I consider application to normal sampling analysed in stages and evaluate the gain in average sample number as a function of the number of interim analyses.
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