Jonathan Sterne
Jonathan Sterne
Professor of Medical Statistics and Epidemiology, University of Bristol
bristol.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
155152011
Assessing risk of bias in included studies
JPT Higgins, DG Altman
Cochrane handbook for systematic reviews of interventions: Cochrane book …, 2008
64942008
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
64592011
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
6141*2011
Essential medical statistics
BR Kirkwood, JAC Sterne
John Wiley & Sons, 2010
53142010
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
45802009
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
35142016
RESEARCH METHODS & REPORTING-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-British Medical Journal 343 (7818), 302, 2011
3286*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
32752011
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
22362001
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
21822008
Investigating and dealing with publication and other biases in meta-analysis
JAC Sterne, M Egger, GD Smith
Bmj 323 (7304), 101-105, 2001
2023*2001
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
19252002
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
17682019
Life expectancy of individuals on combination antiretroviral therapy in high-income countries: a collaborative analysis of 14 cohort studies
Antiretroviral Therapy Cohort Collaboration
The Lancet 372 (9635), 293-299, 2008
17042008
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
16172000
Sifting the evidence—what's wrong with significance tests?
JAC Sterne, GD Smith
Physical therapy 81 (8), 1464-1469, 2001
15992001
Reprint-Sifting the Evidence--What's Wrong With Significance Tests?
JAC Sterne, GD Smith
Physical Therapy 81 (8), 1464-1468, 2001
15992001
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
15812008
A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints
RM Harbord, M Egger, JAC Sterne
Statistics in medicine 25 (20), 3443-3457, 2006
14802006
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Makaleler 1–20