Designing a cost-effective clinical trial

Researchers and administrators must decide which clinical trials are worth doing and how many subjects are needed for a trial. We calculated sample size considering the costs of implementing the results of the trial and the trial costs using (1) Neyman—Pearson methods and (2) a Bayesian cost—benefit...

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Veröffentlicht in:	Statistics in medicine 1995-10, Vol.14 (20), p.2249-2259
Hauptverfasser:	Hornberger, John C., Brown Jr, Byron Wm, Halpern, Jerry
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Biological and medical sciences Computerized, statistical medical data processing and models in biomedicine Cost-Benefit Analysis - methods Decision Making Health Care Costs Humans Kidney Failure, Chronic - therapy Medical sciences Medical statistics Randomized Controlled Trials as Topic - economics Renal Dialysis - economics Research Design Sample Size Survival Rate United States
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