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Jonathan Sterne
Jonathan Sterne
Professor of Medical Statistics and Epidemiology, University of Bristol
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
28327*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
282942011
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
144692019
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
111782016
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
110062011
Assessing risk of bias in included studies
JPT Higgins, DG Altman
Cochrane handbook for systematic reviews of interventions: Cochrane book …, 2008
78802008
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
7852*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
68412009
Essential medical statistics
BR Kirkwood, JAC Sterne
John Wiley & Sons, 2010
64862010
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
57342011
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
57192011
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
33482001
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
3158*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
31572008
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
2622*2022
Investigating and dealing with publication and other biases in meta-analysis
JAC Sterne, M Egger, GD Smith
Bmj 323 (7304), 101-105, 2001
24782001
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
23692008
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
22262000
Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies
M Egger, M May, G Chêne, AN Phillips, B Ledergerber, F Dabis, ...
The Lancet 360 (9327), 119-129, 2002
21032002
Cochrane handbook for systematic reviews of interventions. Version 5.1. 0 [updated March 2011]. The Cochrane Collaboration
JP Higgins
www. cochrane-handbook. org, 2011
2021*2011
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