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
Jelena SavovicUniversity of Bristol; NIHR ARC West University Hospitals Bristol and Weston NHS Foundation TrustVerified email at bristol.ac.uk
Douglas G AltmanCentre for Statistics in Medicine, University of OxfordVerified email at csm.ox.ac.uk
David MoherOttawa Hospital Research InstituteVerified email at ohri.ca
Peter JüniProfessor of Medicine and Clinical Trials, University of OxfordVerified email at ndph.ox.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
Amy JusticeCNH Long Professor of Medicine and Public HealthVerified email at yale.edu
Antonella D'Arminio MonforteVerified email at unimi.it
Barnaby ReevesUniversity of BristolVerified email at bristol.ac.uk
Nicky J WeltonUniversity of BristolVerified email at bristol.ac.uk
Andrew D OxmanRetiredVerified email at online.no
Matthias CavassiniHead of the Infectious Diseases outpatient clinic, CHUV, Lausanne, SwitzerlandVerified email at chuv.ch
Dominique CostagliolaDirectrice de Recherche Emérite INSERMVerified email at inserm.fr
Adam TrickeyUniversity of BristolVerified email at bristol.ac.uk
Matthew J PageSchool of Public Health and Preventive Medicine, Monash UniversityVerified email at monash.edu
Angela WoodUniversity of CambridgeVerified email at medschl.cam.ac.uk

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	31616*	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	31572	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	20030	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	14111	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	12349	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	8903*	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	7462	2009
Essential medical statistics BR Kirkwood, JAC Sterne John Wiley & Sons, 2010	6698	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	6443	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	6426	2011
Assessing risk of bias in included studies JPT Higgins, DG Altman Cochrane handbook for systematic reviews of interventions: Cochrane book …, 2008	4088	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	4001*	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	3996	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	3710	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	2825*	2022
Investigating and dealing with publication and other biases in meta-analysis JAC Sterne, M Egger, GD Smith Bmj 323 (7304), 101-105, 2001	2602	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	2464	2008
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	2442	2019
Chapter 8: Assessing risk of bias in a randomized trial. Cochrane Handbook for Systematic Reviews of Interventions version 6.0 [updated July 2019]. Cochrane, 2019 JPT Higgins, J Savović, MJ Page, RG Elbers, JAC Sterne Available from www. training. cochrane. org/handbook, 2019	2415*	2019
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	2399	2000

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