User profiles for Jonathan AC Sterne

Jonathan Sterne

Professor of Medical Statistics and Epidemiology, University of Bristol
Verified email at bristol.ac.uk
Cited by 195704

Investigating and dealing with publication and other biases in meta-analysis

JAC Sterne, M Egger, GD Smith - Bmj, 2001 - bmj.com
Studies that show a significant effect of treatment are more likely to be published, be published
in English, be cited by other authors, and produce multiple publications than other studies…

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, 2006 - Wiley Online Library
Publication bias and related bias in meta‐analysis is often examined by visually checking
for asymmetry in funnel plots of treatment effect against its standard error. Formal statistical …

Sifting the evidence—what's wrong with significance tests?

JAC Sterne, GD Smith - Physical therapy, 2001 - academic.oup.com
The findings of medical research are often met with considerable scepticism, even when they
have apparently come from studies with sound methodologies that have been subjected to …

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

JAC Sterne, MA Hernán, BC Reeves, J Savović… - bmj, 2016 - bmj.com
Non-randomised studies of the effects of interventions are critical to many areas of healthcare
evaluation, but their results may be biased. It is therefore important to understand and …

RoB 2: a revised tool for assessing risk of bias in randomised trials

JAC Sterne, J Savović, MJ Page, RG Elbers… - bmj, 2019 - bmj.com
Assessment of risk of bias is regarded as an essential component of a systematic review on
the effects of an intervention. The most commonly used tool for randomised trials is the …

QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies

…, JB Reitsma, MMG Leeflang, JAC Sterne… - Annals of internal …, 2011 - acpjournals.org
In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was
developed. Experience, anecdotal reports, and feedback suggested areas for improvement; …

[HTML][HTML] Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

JAC Sterne, IR White, JB Carlin, M Spratt, P Royston… - Bmj, 2009 - bmj.com
Jonathan AC Sterne, professor of medical statistics and epidemiology1, … Jonathan
Sterne and colleagues describe the appropriate use and reporting of the multiple imputation …

Association between administration of systemic corticosteroids and mortality among critically ill patients with COVID-19: a meta-analysis

JAC Sterne, S Murthy, JV Diaz, AS Slutsky, J Villar… - Jama, 2020 - jamanetwork.com
Importance Effective therapies for patients with coronavirus disease 2019 (COVID-19) are
needed, and clinical trial data have demonstrated that low-dose dexamethasone reduced …

Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

JAC Sterne, AJ Sutton, JPA Ioannidis, N Terrin… - Bmj, 2011 - bmj.com
Funnel plots, and tests for funnel plot asymmetry, have been widely used to examine bias in
the results of meta-analyses. Funnel plot asymmetry should not be equated with publication …

The Cochrane Collaboration's tool for assessing risk of bias in randomised trials

…, J Savović, KF Schulz, L Weeks, JAC Sterne - Bmj, 2011 - bmj.com
Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the
effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s …