Jonathan Sterne

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Prof Julian HigginsUniversity of BristolVerified email at bristol.ac.uk
Matthias EggerProfessor of Epidemiology & Public Health, University of BernVerified email at ispm.unibe.ch
Douglas G AltmanCentre for Statistics in Medicine, University of OxfordVerified email at csm.ox.ac.uk
Jelena SavovicUniversity of Bristol; NIHR ARC West University Hospitals Bristol and Weston NHS Foundation TrustVerified email at bristol.ac.uk
George Davey SmithUniversity of BristolVerified email at bristol.ac.uk
Roger HarbordVerification scientist, Met OfficeVerified email at metoffice.gov.uk
Jon DeeksProfessor of BiostatisticsVerified email at bham.ac.uk
Kate TillingProfessor of Medical Statistics, Bristol UniversityVerified email at bristol.ac.uk
David MoherOttawa Hospital Research InstituteVerified email at ohri.ca
Amy JusticeCNH Long Professor of Medicine and Public HealthVerified email at yale.edu
Peter JüniProfessor of Medicine and Clinical Trials, University of OxfordVerified email at ndph.ox.ac.uk
Antonella D'Arminio MonforteVerified email at unimi.it
Matthew J PageMonash UniversityVerified email at monash.edu
Barnaby ReevesUniversity of BristolVerified email at bristol.ac.uk
Nicky J WeltonUniversity of BristolVerified email at bristol.ac.uk
Dominique CostagliolaDirectrice de Recherche Emérite INSERMVerified email at inserm.fr
Matthias CavassiniHead of the Infectious Diseases outpatient clinic, CHUV, Lausanne, SwitzerlandVerified email at chuv.ch
Robert HoggFaculty of Health Sciences, Simon Fraser UniversityVerified email at sfu.ca
Adam TrickeyUniversity of BristolVerified email at bristol.ac.uk
Miguel HernanDirector, CAUSALab / Professor of Biostatistics and Epidemiology, Harvard T.H. Chan SchoolVerified email at hsph.harvard.edu

Jonathan Sterne

Professor of Medical Statistics and Epidemiology, University of Bristol

Verified email at bristol.ac.uk - Homepage

Medical Statistics HIV Evidence Synthesis Epidemiology Causal Inference


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RESEARCH METHODS & REPORTING-The Cochrane Collaboration's tool for assessing risk of bias in randomised trials JPT Higgins, DG Altman, PC Gøtzsche, P Jüni, D Moher, AD Oxman, ... BMJ-British Medical Journal 343 (7829), 889, 2011	30153*	2011
The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials JPT Higgins, DG Altman, PC Gøtzsche, P Jüni, D Moher, AD Oxman, ... Bmj 343, d5928, 2011	30115	2011
RoB 2: a revised tool for assessing risk of bias in randomised trials JAC Sterne, J Savović, MJ Page, RG Elbers, NS Blencowe, I Boutron, ... bmj 366, l4898, 2019	17543	2019
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions JAC Sterne, MA Hernán, BC Reeves, J Savović, ND Berkman, ... bmj 355, i4919, 2016	12763	2016
QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies PF Whiting, AWS Rutjes, ME Westwood, S Mallett, JJ Deeks, JB Reitsma, ... Annals of internal medicine 155 (8), 529-536, 2011	11783	2011
Chapter 8: Assessing risk of bias in included studies. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1. 0 [updated March 2011] JPT Higgins, DG Altman, JA Sterne The Cochrane Collaboration, 2011	8761*	2011
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls JAC Sterne, IR White, JB Carlin, M Spratt, P Royston, MG Kenward, ... Bmj 338, b2393, 2009	7218	2009
Essential medical statistics BR Kirkwood, JAC Sterne John Wiley & Sons, 2010	6619	2010
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials JAC Sterne, AJ Sutton, JPA Ioannidis, N Terrin, DR Jones, J Lau, ... Bmj 343, 2011	6139	2011
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials JAC Sterne, AJ Sutton, JPA Ioannidis, N Terrin, DR Jones, J Lau, ... Bmj 343, d4002, 2011	6116	2011
Assessing risk of bias in included studies JPT Higgins, DG Altman Cochrane handbook for systematic reviews of interventions: Cochrane book …, 2008	4002	2008
Comments on ‘Mendelian randomization: Using genes as instruments for making causal inference in epidemiology’: Authors' response DA Lawlor, N Timpson, G Davey Smith, RM Harbord, JAC Sterne Statistics in Medicine 27 (15), 2976-2978, 2008	3661*	2008
Mendelian randomization: using genes as instruments for making causal inferences in epidemiology DA Lawlor, RM Harbord, JAC Sterne, N Timpson, G Davey Smith Statistics in medicine 27 (8), 1133-1163, 2008	3659	2008
Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis JAC Sterne, M Egger Journal of clinical epidemiology 54 (10), 1046-1055, 2001	3550	2001
Repurposed Antiviral Drugs for Covid-19-Interim WHO Solidarity Trial Results. H Pan, R Peto, AM Henao-Restrepo, MP Preziosi, V Sathiyamoorthy, ... Lancet 399, 1941-1953, 2022	2747*	2022
Investigating and dealing with publication and other biases in meta-analysis JAC Sterne, M Egger, GD Smith Bmj 323 (7304), 101-105, 2001	2548	2001
Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study L Wood, M Egger, LL Gluud, KF Schulz, P Jüni, DG Altman, C Gluud, ... Bmj 336 (7644), 601-605, 2008	2426	2008
Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature JAC Sterne, D Gavaghan, M Egger Journal of clinical epidemiology 53 (11), 1119-1129, 2000	2325	2000
Cochrane handbook for systematic reviews of interventions. Version 5.1. 0 [updated March 2011]. The Cochrane Collaboration JP Higgins www. cochrane-handbook. org, 2011	2229*	2011
Assessing risk of bias in a randomized trial JPT Higgins, J Savović, MJ Page, RG Elbers, JAC Sterne Cochrane Handbook for Systematic Reviews of Interventions, 205-228, 2019	2147	2019

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