Validating self-reported strokes in a longitudinal UK cohort study (Whitehall II): Extracting information from hospital medical records versus the Hospital Episode Statistics database |
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| Authors: | Annie Britton Beverly Milne Therese Butler Adelaida Sanchez-Galvez Martin Shipley Anthony Rudd Charles DA Wolfe Ajay Bhalla Eric J Brunner |
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| Affiliation: | 1. Pharmaceutical Outcomes Research and Policy Program, University of Washington, Box 357630, Seattle, WA, 98195-7630, USA
2. Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 E 63 rd St, New York, NY, 10065, USA
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| Abstract: | Background Quantiles are a staple of epidemiologic research: in contemporary epidemiologic practice, continuous variables are typically categorized into tertiles, quartiles and quintiles as a means to illustrate the relationship between a continuous exposure and a binary outcome. Discussion In this paper we argue that this approach is highly problematic and present several potential alternatives. We also discuss the perceived drawbacks of these newer statistical methods and the possible reasons for their slow adoption by epidemiologists. Summary The use of quantiles is often inadequate for epidemiologic research with continuous variables. |
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