Jonathan A C Sterne spends much of his time researching Meta-analysis, Internal medicine, Statistics, Clinical trial and Econometrics. His studies deal with areas such as Diagnostic accuracy, Sensitivity analyses, Information retrieval and Data mining as well as Meta-analysis. The study incorporates disciplines such as Surgery, Acquired immunodeficiency syndrome and Viral load in addition to Internal medicine.
His Acquired immunodeficiency syndrome research is multidisciplinary, incorporating perspectives in Cohort study, Immunology and Hazard ratio. His Clinical trial research includes themes of Odds ratio, Observational study, Intervention, Systematic review and Alternative medicine. The various areas that he examines in his Econometrics study include Sample size determination, Linear regression and Confounding.
The scientist’s investigation covers issues in Internal medicine, Cohort study, Pediatrics, Meta-analysis and Cohort. He has included themes like Viral load, Immunology and Antiretroviral therapy in his Internal medicine study. His biological study deals with issues like Acquired immunodeficiency syndrome, which deal with fields such as Mortality rate.
Jonathan A C Sterne interconnects Wheeze, Asthma and Longitudinal study in the investigation of issues within Pediatrics. His Meta-analysis research includes elements of Odds ratio, Statistics and Systematic review. His Randomized controlled trial research extends to Systematic review, which is thematically connected.
Jonathan A C Sterne mainly focuses on Randomized controlled trial, Internal medicine, Epidemiology, Cohort study and Meta-analysis. Jonathan A C Sterne studied Randomized controlled trial and Observational study that intersect with Intensive care medicine and Causal inference. His work on Confidence interval, Prostate cancer and Rate ratio as part of general Internal medicine study is frequently linked to CD4-CD8 Ratio, therefore connecting diverse disciplines of science.
His Cohort study study integrates concerns from other disciplines, such as Comorbidity, Acquired immunodeficiency syndrome, Cohort and Hazard ratio. His work carried out in the field of Meta-analysis brings together such families of science as Odds ratio, Systematic review, Econometrics and Blinding. In Physical therapy, Jonathan A C Sterne works on issues like Clinical trial, which are connected to Psychological intervention.
Randomized controlled trial, Meta-analysis, Internal medicine, Odds ratio and Intensive care medicine are his primary areas of study. His Randomized controlled trial research incorporates themes from Observational study, Selection bias and Mass screening. As part of the same scientific family, Jonathan A C Sterne usually focuses on Meta-analysis, concentrating on Systematic review and intersecting with Physical therapy and Econometrics.
His Odds ratio research includes themes of Blinding and Medical emergency. His biological study spans a wide range of topics, including Cross-sectional study, Clinical endpoint and Progression-free survival. His Clinical trial research integrates issues from Research design and Psychological intervention.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
Julian P T Higgins;Douglas G Altman;Peter C Gøtzsche;Peter Jüni.
QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
Penny F. Whiting;Anne W.S. Rutjes;Marie E. Westwood;Susan Mallett.
Annals of Internal Medicine (2011)
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.
Jonathan A. C. Sterne;Miguel A Hernan;Barnaby C Reeves;Jelena Savovic;Jelena Savovic.
RoB 2: a revised tool for assessing risk of bias in randomised trials.
Jonathan A.C. Sterne;Jelena Savović;Jelena Savović;Matthew J. Page;Roy G. Elbers.
Essential Medical Statistics
Betty R. Kirkwood;Jonathan A. C. Sterne.
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
Jonathan A C Sterne;Ian R White;John B Carlin;Michael Spratt.
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials
Jonathan A C Sterne;Alex J Sutton;John P A Ioannidis;Norma Terrin.
Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis.
Jonathan A.C Sterne;Matthias Egger.
Journal of Clinical Epidemiology (2001)
Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study.
Lesley Wood;Matthias Egger;Lise Lotte Gluud;Kenneth F Schulz.
Mendelian randomization: using genes as instruments for making causal inferences in epidemiology.
Debbie A. Lawlor;Roger M. Harbord;Jonathan A. C. Sterne;Nicholas J Timpson.
Statistics in Medicine (2008)
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