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Roger M. Harbord
Researcher at University of Bristol
Publications - 76
Citations - 18013
Roger M. Harbord is an academic researcher from University of Bristol. The author has contributed to research in topics: Mendelian randomization & Odds ratio. The author has an hindex of 40, co-authored 75 publications receiving 14896 citations. Previous affiliations of Roger M. Harbord include University of Reading.
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Journal ArticleDOI
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,Norma Terrin,David R. Jones,Joseph Lau,James R. Carpenter,Gerta Rücker,Roger M. Harbord,Christopher H. Schmid,Jennifer Tetzlaff,Jonathan J Deeks,Jaime Peters,Petra Macaskill,Guido Schwarzer,Sue Duval,Douglas G. Altman,David Moher,Julian P T Higgins +18 more
TL;DR: How to interpret funnel plot asymmetry, recommends appropriate tests, and explains the implications for choice of meta-analysis model are described.
Journal ArticleDOI
Mendelian randomization: using genes as instruments for making causal inferences in epidemiology.
TL;DR: The use of germline genetic variants that proxy for environmentally modifiable exposures as instruments for these exposures is one form of IV analysis that can be implemented within observational epidemiological studies and can be considered as analogous to randomized controlled trials.
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A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints
TL;DR: A modified linear regression test for funnel plot asymmetry based on the efficient score and its variance, Fisher's information is developed, which has a false-positive rate close to the nominal level while maintaining similar power to the originallinear regression test ('Egger' test).
Journal ArticleDOI
metan: fixed- and random-effects meta-analysis
Ross J Harris,Mike Bradburn,Jonathan J Deeks,Roger M. Harbord,Douglas G. Altman,Jonathan A C Sterne +5 more
TL;DR: Updates of the meta-analysis command metan and options that have been added since the command's original publication are described, including version 9 graphics with flexible display options, the ability to meta-analyze precalculated effect estimates, and theAbility to analyze subgroups by using the by() option.
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Meta-regression in Stata
TL;DR: A revised version of the metareg command, which performs meta-analysis regression (meta-regression) on study-level summary data, is presented, which involves improvements to the estimation methods and the addition of an option to use a permutation test to estimate p-values.