Abstract:
A single stage design requires all n patients to receive and experimental treatment. Within a specified time period they will be observed to have responded (success) or not (failure). The probability of a success in the trial is p and this is compared to a fixed value p0, which is the probability of a success when treatment is not given. The trial therefore tests the null hypothesis H0:p=p0 against the alternative hypothesis H1:p>p0. A particular value p1 (p1>p0) is considered to be the desired probability of success.
Language: Stata Requires: Stata version 10 Keywords:exact sample size; single-stage design; Fleming (search for similar items in EconPapers) Date: 2009-06-03, Revised 2009-07-07 Note: This module may be installed from within Stata by typing "ssc install sampsi_fleming". Windows users should not attempt to download these files with a web browser.
More software in Statistical Software Components from Boston College Department of Economics Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().
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