Sterne, Jonathan A. C.

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

Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., et al. (2019) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 34,787

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

Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 33,817

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

Sterne, J. A., Hernán, M. A., Reeves, B. C., Savović, J., Berkman, N. D., Viswanathan, M., Henry, D., Altman, D. G., Ansari, M. T., Boutron, I., et al. (2016) · BMJ

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 20,329

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

Whiting, P. F., Rutjes, A. W. S., Westwood, M. E., Mallett, S., Deeks, J. J., Reitsma, J. B., Leeflang, M. M. G., Sterne, J. A. C., Bossuyt, P. M. M., & the QUADAS-2 Group* (2011) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 14,199

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

Sterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rucker, G., Harbord, R. M., Schmid, C. H., et al. (2011) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 7,709

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

Sterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 7,299

Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology

Lawlor, D. A., Harbord, R. M., Sterne, J. A. C., Timpson, N., & Davey Smith, G. (2008) · Statistics in Medicine

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 4,618

Funnel plots for detecting bias in meta-analysis

Sterne, J. A. C., & Egger, M. (2001) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 3,779

Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study

Wood, L., Egger, M., Gluud, L. L., Schulz, K. F., Jüni, P., Altman, D. G., Gluud, C., Martin, R. M., Wood, A. J. G., & Sterne, J. A. C. (2008) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 2,538

Publication and related bias in meta-analysis

Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 2,282

A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints

Harbord, R. M., Egger, M., & Sterne, J. A. C. (2006) · Statistics in Medicine

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 2,267

Association Between Administration of Systemic Corticosteroids and Mortality Among Critically Ill Patients With COVID-19: A Meta-analysis

The WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group, Sterne, J. A. C., Murthy, S., Diaz, J. V., Slutsky, A. S., Villar, J., Angus, D. C., Annane, D., Azevedo, L. C. P., Berwanger, O., et al. (2020) · JAMA

COVID-19 Clinical Research StudiesRespiratory Support and Mechanisms

Cited by 2,257

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

Sterne, J. A. C., Egger, M., & Smith, G. D. (2001) · BMJ

Meta-analysis and systematic reviewsAdipokines, Inflammation, and Metabolic Diseases

Cited by 2,225

Assessing risk of bias in a randomized trial

Higgins, J. P., Savović, J., Page, M. J., Elbers, R. G., & Sterne, J. A. (2019) · Cochrane Handbook for Systematic Reviews of Interventions

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 1,765

Sifting the evidence---what's wrong with significance tests? Another comment on the role of statistical methods

Sterne, J. A. C. (2001) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 1,466

Using multiple genetic variants as instrumental variables for modifiable risk factors

Palmer, T. M., Lawlor, D. A., Harbord, R. M., Sheehan, N. A., Tobias, J. H., Timpson, N. J., Smith, G. D., & Sterne, J. A. (2012) · Statistical Methods in Medical Research

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,289

How important are comprehensive literature searches and the assessment of trial quality in systematic reviews? Empirical study

Egger, M., Jüni, P., Bartlett, C., Holenstein, F., & Sterne, J. (2003) · Health Technology Assessment

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 1,181

Influence of Reported Study Design Characteristics on Intervention Effect Estimates From Randomized, Controlled Trials

Savović, J., Jones, H. E., Altman, D. G., Harris, R. J., Jüni, P., Pildal, J., Als-Nielsen, B., Balk, E. M., Gluud, C., Gluud, L. L., et al. (2012) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 1,049

Metan: fixed- and random-effects meta-analysis

Harris, R. J., Deeks, J. J., Altman, D. G., Bradburn, M. J., Harbord, R. M., & Sterne, J. A. C. (2008) · The Stata Journal: Promoting communications on statistics and Stata

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,027

A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)

Higgins, J. P. T., Morgan, R. L., Rooney, A. A., Taylor, K. W., Thayer, K. A., Silva, R. A., Lemeris, C., Akl, E. A., Bateson, T. F., Berkman, N. D., et al. (2024) · Environment International

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,022

Protection by BCG vaccine against tuberculosis: a systematic review of randomized controlled trials

Mangtani, P., Abubakar, I., Ariti, C., Beynon, R., Pimpin, L., Fine, P. E. M., Rodrigues, L. C., Smith, P. G., Lipman, M., Whiting, P. F., et al. (2014) · Clinical Infectious Diseases

Tuberculosis Research and EpidemiologyImmune responses and vaccinations

Cited by 995

GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence

Schünemann, H. J., Cuello, C., Akl, E. A., Mustafa, R. A., Meerpohl, J. J., Thayer, K., Morgan, R. L., Gartlehner, G., Kunz, R., Katikireddi, S. V., et al. (2019) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 911

Direction and impact of language bias in meta-analyses of controlled trials: empirical study

Jüni, P., Holenstein, F., Sterne, J., Bartlett, C., & Egger, M. (2002) · International Journal of Epidemiology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 892

Regression Methods to Detect Publication and Other Bias in Meta‐Analysis

Sterne, J. A. C., & Egger, M. (2005) · Publication Bias in Meta‐Analysis

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 826