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The design of a clinical trial when there are two categories of patients
Author(s) -
Donner Allan
Publication year - 1976
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315265
Subject(s) - pooling , bayes' theorem , basis (linear algebra) , simple (philosophy) , statistics , clinical trial , mathematics , bayesian probability , medicine , computer science , artificial intelligence , philosophy , geometry , epistemology
Strategies are investigated for selecting one of two medical treatments when patients may be stratified into two distinct categories on the basis of their expected difference in response to the two treatments. The relative effectiveness of the following three strategies are assessed: (1) separate decisions made independently for the two categories, (2) a single overall decision made on the basis of simple pooling, and (3) the Bayes strategy.