Statistics in Medicine
© John Wiley & Sons, Ltd.

EDITORS: Ralph D'Agostino, Vern Farewell, Joel Greenhouse and Louise Ryan
Impact Factor: 1.877
ISI Journal Citation Reports © Ranking: 2011: 8/23 (Medical Informatics); 15/116 (Statistics & Probability); 18/47 (Mathematical & Computational Biology); 65/158 (Public Environmental & Occupational Health); 66/112 (Medicine Research & Experimental)
Online ISSN: 1097-0258
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Hot Papers from Statistics in Medicine
Special issue in honor of Jerome Cornfield on the centennial of his birth: Introduction
IndOR: a new statistical procedure to test for SNP–SNP epistasis in genome-wide association studies
A Bayesian method for estimating prevalence in the presence of a hidden sub-population
Statistics in Medicine
Statistics in Medicine Aims and Scope
Statistics in Medicine aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods such as medical statistics, biostatistics, clinical trials and epidemiology.
You can find out more about the scope of Statistics in Medicine by reading the Aims and Scope.
OnlineOpen – The Open Access Option for Authors
OnlineOpen is available to authors who wish to make their article open access, free to read, download and share via Wiley Online Library and PubMed Central. Read this recent OnlineOpen article. Yours can be too. Learn more about OnlineOpen
Estimating within-study covariances in multivariate meta-analysis with multiple outcomes
Yinghui Wei and Julian PT Higgins
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Special Issue: Assessing Biosimilarity and Interchangeability of Biosimilar Products
Special Issue: Papers from the 2010 National Heart, Lung and Blood Institute Clinical Trial Workshop
Special Issue in Honor of Jerome Cornfield on the Centennial of His Birth
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See the Latest Tutorials from Statistics in Medicine
Methods for dealing with time-dependent confounding
A tutorial on propensity score estimation for multiple treatments using generalized boosted models
Tutorial in biostatistics: sample sizes for parallel group clinical trials with binary data
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Video Interview with Professor Lawless
Richard Cook, Professor of Statistics at the University of Waterloo interviews Professor Lawless about his article:Armitage Lecture 2011: the design and analysis of life history studies
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