期刊
STATISTICS IN MEDICINE
卷 28, 期 26, 页码 3189-3209出版社
WILEY
DOI: 10.1002/sim.3603
关键词
dichotomies; responder analysis; baselines; number needed to treat; titration; ordered categorical data
类别
资金
- US National Institute of Health (NIH)
- Engineering and Physical Research Council's Simplicity, Complexity and Modelling (SCAM)
- EPSRC [EP/E018173/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/E018173/1] Funding Source: researchfish
Biostatisticians have frequently uncritically accepted the measurements provided by their medical colleagues engaged in clinical research. Such measures often involve considerable loss of information. Particularly, unfortunate is the widespread use of the so-called 'responder analysis', which may involve not only a loss of information through dichotomization, but also extravagant and unjustified causal inference regarding individual treatment effects at the patient level, and, increasingly, the use of the so-called number needed to treat scale of measurement. Other problems involve inefficient use of baseline measurements, the use of covariates measured after the start of treatment, the interpretation of titrations and composite response measures. Many of these bad practices are becoming enshrined in the regulatory guidance to the pharmaceutical industry. We consider the losses involved in inappropriate measures and suggest that statisticians should pay more attention to this aspect of their work. Copyright (C) 2009 John Wiley & Sons, Ltd.
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