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EDITORS: Simon Day, Els Goetghebeur, Joel Greenhouse and Robert Platt
Impact factor:1.783
2019
Journal Citation Reports (Clarivate Analytics): 31/59 (Mathematical & Computational Biology)21/27 (Medical Informatics)106/138 (Medicine, Research & Experimental)114/193 (Public, Environmental & Occupational Health)34/124 (Statistics & Probability)
Online ISSN:1097-0258
© John Wiley & Sons Ltd
MRC Biostatistics Unit 17th Armitage Lecture now available to view!
With the theme causal inference in action, Professor Miguel Hernan, Kolokotrones Professor of Biostatistics and Epidemiology at Harvard School of Public Health, gave the keynote lecture on How do we learn what works? A two-step algorithm for causal inference from observational data. A video of the lecture is free to view here.
Articles
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Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models
- Per Kragh Andersen
- Maja Pohar Perme
- Hans C. van Houwelingen
- Richard J. Cook
- Pierre Joly
- Torben Martinussen
- Jeremy M. G. Taylor
- Michal Abrahamowicz
- Terry M. Therneau
- 11 October 2020
Open accessParameter clustering in Bayesian functional principal component analysis of neuroscientific data
- 11 October 2020
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The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.
moreMultiple imputation using chained equations: Issues and guidance for practice
- 377-399
- 30 November 2010
MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
- 361-387
- 29 February 1996
Open accessBalance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples
- 3083-3107
- 13 October 2009
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