Planning controlled clinical trials on the basis of descriptive data analysis.
In controlled clinical trials the problem of multiplicity of desired inferential statements finds attention at an increasing rate. In this paper the previously proposed concept of Descriptive Data Analysis (DDA), situated between Confirmatory and Exploratory Data Analysis, is applied to the planning aspects of controlled trials for which the problem of multiplicity exists. The (non-Bayesian) DDA planning concept should provide the investigator with tools to draw final conclusions from data of several variables possibly observed at several time points in possibly several groups of subjects by combining his pre-trial medical experience with descriptive inferential statements (confidence intervals and test results) at nominal significance levels. DDA also provides for confirmatory statements concerning individual null hypotheses and partially global hypotheses.
Abt
K
K
Department of Biomathematics, Medical School, University of Frankfurt, Germany.
D002986:Clinical Trials as Topic / Q000379:methods*; D003627:Data Interpretation, Statistical; D006633:Histamine Antagonists / Q000494:pharmacology; D006801:Humans; D006993:Hypnotics and Sedatives / Q000494:pharmacology; D016032:Randomized Controlled Trials as Topic / Q000379:methods; D012494:Sampling Studies
D006633:Histamine Antagonists; D006993:Hypnotics and Sedatives