Diagnostic uncertainty, particularly prior to the receipt of test results, is common in medicine. When randomized trials are being conducted to evaluate therapies in these situations, patients must be randomized in the absence of a definitive diagnosis. This article explores some of the implications of diagnostic uncertainty for the design and analysis of randomized clinical trials, using specific therapeutic examples to illustrate the important points.
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Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USAAlbert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USA
Heo, Moonseong
Xue, Xiaonan
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Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USAAlbert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USA
Xue, Xiaonan
Kim, Mimi Y.
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Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USAAlbert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USA
机构:
UT Southwestern Med Ctr, Dept Appl Clin Res, Dallas, TX USAUT Southwestern Med Ctr, Dept Appl Clin Res, Dallas, TX USA
Wang, Jijia
Cao, Jing
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Southern Methodist Univ, Dept Stat Sci, Dallas, TX USAUT Southwestern Med Ctr, Dept Appl Clin Res, Dallas, TX USA
Cao, Jing
Zhang, Song
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UT Southwestern Med Ctr, Dept Populat & Data Sci, 5323 Harry Hines Blvd, Dallas, TX 75390 USAUT Southwestern Med Ctr, Dept Appl Clin Res, Dallas, TX USA
Zhang, Song
Ahn, Chul
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UT Southwestern Med Ctr, Dept Populat & Data Sci, 5323 Harry Hines Blvd, Dallas, TX 75390 USAUT Southwestern Med Ctr, Dept Appl Clin Res, Dallas, TX USA