MRC Biostatistics Unit

Institution (Facility)

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MRC Biostatistics Unit · Acronym: BSU

6.3K

Publications

1.1M

Citations

419

Authors

1.7K

Concepts

About

MRC Biostatistics Unit is a facility institution in Cambridge, United Kingdom known for medicine, social sciences, and cognitive science.

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MRC Biostatistics Unit

6.3K

Publications

1.1M

Citations

Page 1

	Year	Citations
Quantifying heterogeneity in a meta‐analysis Julian P. T. Higgins, Simon G. Thompson Statistics in Medicine	2002	35.6K
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials Julian P. T. Higgins, Doug Altman, Peter C Gøtzsche, BMJ	2011	32.9K
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression Jack Bowden, George Davey Smith, Stephen Burgess International Journal of Epidemiology	2015	10.2K
Multiple imputation using chained equations: Issues and guidance for practice Ian R. White, Patrick Royston, Angela Wood Statistics in Medicine	2010	9K
The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions Susan Michie, Michelle Richardson, Marie Johnston, Annals of Behavioral Medicine	2013	7.4K
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials Jonathan A C Sterne, Alex J. Sutton, John P. A. Ioannidis, BMJ Funnel PlotsMetatheorySystematic Literature StudyMeta-analysisClinical Endpoint	2011	7K
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls Jonathan A C Sterne, Ian R. White, John B. Carlin, BMJ Quantitative MethodsEpidemiologic ResearchPopulation Health SciencesEducationResearch Ethics	2009	6.8K
A basic introduction to fixed-effect and random-effects models for meta-analysis Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, Research Synthesis Methods Appropriate ModelMeta-analysisHealth PolicyFixed-effect ModelField Experiment	2010	6.4K
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility David J. Lunn, Andrew C. Thomas, Nicky Best, Statistics and Computing	2000	5.4K
Interpreting findings from Mendelian randomization using the MR-Egger method Stephen Burgess, Simon G. Thompson European Journal of Epidemiology	2017	4.6K

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