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Design and analysis of studies to reduce the incidence of colon polyps
Author(s) -
Emerson Scott S.,
McGee Daniel L.,
Fennerty Brian,
Hixson Lee,
Garewal Harinder,
Alberts David
Publication year - 1993
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780120316
Subject(s) - incidence (geometry) , monte carlo method , statistics , medicine , statistical analysis , variable (mathematics) , computer science , econometrics , mathematics , mathematical analysis , geometry
Decisions regarding the design and analysis of a phase III study to reduce the incidence of colorectal polyps must take into account two complicating factors: the possibility that polyps are missed during screening exams, and variable lengths of follow‐up. In this paper we investigate the effects due to misclassification on the power of statistical tests to detect a change in polyp recurrence rates. We also use Monte Carlo studies to examine the relative efficiency of different methods of adjusting for variable times of follow‐up.