P
Patrick Royston
Researcher at University College London
Publications - 303
Citations - 59824
Patrick Royston is an academic researcher from University College London. The author has contributed to research in topics: Covariate & Regression analysis. The author has an hindex of 90, co-authored 294 publications receiving 51856 citations. Previous affiliations of Patrick Royston include Imperial College London & Analysis Group.
Papers
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Journal ArticleDOI
Multiple imputation using chained equations: Issues and guidance for practice
TL;DR: The principles of the method and how to impute categorical and quantitative variables, including skewed variables, are described and shown and the practical analysis of multiply imputed data is described, including model building and model checking.
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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
Jonathan A C Sterne,Ian R. White,John B. Carlin,Michael Spratt,Patrick Royston,Michael G. Kenward,Angela M. Wood,James R. Carpenter +7 more
TL;DR: The appropriate use and reporting of the multiple imputation approach to dealing with missing data is described by Jonathan Sterne and colleagues.
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Analysis of serial measurements in medical research.
TL;DR: Use of summary measures to analyse serial measurements, though not new, is potentially a useful and simple tool in medical research.
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Multiple Imputation of Missing Values
TL;DR: This article describes an implementation for Stata of the MICE method of multiple multivariate imputation, described by van Buuren, Boshuizen, and Knook (1999), and describes five ado-files, which create multiple mult variables and utilities to intercon-vert datasets created by mvis and by the miset program from John Carlin and colleagues.
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Dichotomizing continuous predictors in multiple regression: a bad idea.
TL;DR: It is argued that the simplicity achieved is gained at a cost; dichotomization may create rather than avoid problems, notably a considerable loss of power and residual confounding.