Literature DB >> 10441772

The impact of measurement error on the comparison of two treatments using a responder analysis.

L Oppenheimer1, U Kher.   

Abstract

Investigators often report results of studies comparing the proportions of subjects who have clinically meaningful responses to various therapeutic regimens. When the outcome variable is a continuous measure this involves dichotomizing the observed response based on a predefined threshold value. The effect of this strategy is examined, paying particular attention to the impact of measurement error on the resulting estimates of treatment effect (difference in the proportion responding). Expressions are obtained for quantifying the magnitude and direction of the resulting bias, and these are illustrated in a study evaluating a pharmaceutical treatment for osteoporosis. Copyright 1999 John Wiley & Sons, Ltd.

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Year:  1999        PMID: 10441772     DOI: 10.1002/(sici)1097-0258(19990830)18:16<2177::aid-sim181>3.0.co;2-1

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

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2.  Overestimating outcome rates: statistical estimation when reliability is suboptimal.

Authors:  Rodney A Hayward; Michele Heisler; John Adams; R Adams Dudley; Timothy P Hofer
Journal:  Health Serv Res       Date:  2007-08       Impact factor: 3.402

3.  Recommendations for the definition of clinical responder in insulin preservation studies.

Authors:  Craig A Beam; Stephen E Gitelman; Jerry P Palmer
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4.  The prevalence of potentially preventable deaths in an acute care hospital: A retrospective cohort.

Authors:  Daniel M Kobewka; Carl van Walraven; Monica Taljaard; Paul Ronksley; Alan J Forster
Journal:  Medicine (Baltimore)       Date:  2017-02       Impact factor: 1.817

  4 in total

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