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Lessons from overviews of cardiovascular trials
Author(s) -
Furberg Curt D.,
Morgan Timothy M.
Publication year - 1987
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.4780060316
Subject(s) - clinical trial , publication bias , computer science , field (mathematics) , data science , medical physics , psychology , medicine , meta analysis , mathematics , pathology , pure mathematics
Overviews of clinical trials in the cardiovascular field have been critically reviewed. Six reasons for the overviews were identified. An impression, at least from a scientific viewpoint, is that the pooled analyses have been valuable. Six potential problems are discussed and recommendations given based on lessons learned. These include the avoidance of three types of biases – publication bias, overviewer bias and investigator bias. The role of time‐dependent treatment effects, the complex issue of ‘mixing of apples and oranges’ and the problem of errors are also addressed.