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Publications

Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review.

Andaur Navarro CL. et al, (2022), Bmc med res methodol, 22

Burden of ischemic heart disease and its attributable risk factors in 204 countries and territories, 1990-2019.

Safiri S. et al, (2021), Eur j prev cardiol

Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome.

Riley RD. et al, (2021), Stat med

Accuracy of approximations to recover incompletely reported logistic regression models depended on other available information.

Takada T. et al, (2021), J clin epidemiol

Machine Learning and Statistical Prediction of Pitching Arm Kinetics.

Nicholson KF. et al, (2021), Am j sports med

Burden of anemia and its underlying causes in 204 countries and territories, 1990-2019: results from the Global Burden of Disease Study 2019.

Safiri S. et al, (2021), J hematol oncol, 14

Health Conditions, Substance Use, Physical Activity, and Quality of Life in Current and Former Baseball Players.

Bullock GS. et al, (2021), Orthop j sports med, 9

The current status of risk-stratified breast screening

Clift AK. et al, (2021), British journal of cancer

Prevalence, deaths and disability-adjusted-life-years (DALYs) due to asthma and its attributable risk factors in 204 countries and territories, 1990-2019.

Safiri S. et al, (2021), Chest

Risk of bias in studies on prediction models developed using supervised machine learning techniques: Systematic review

Andaur Navarro CL. et al, (2021), The bmj, 375

Association of Tramadol vs Codeine Prescription Dispensation With Mortality and Other Adverse Clinical Outcomes.

Xie J. et al, (2021), Jama, 326, 1504 - 1515

Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance.

Martin GP. et al, (2021), Stat methods med res

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.

Sounderajah V. et al, (2021), Nat med, 27, 1663 - 1665

Characterization of Rookie Season Injury and Illness and Career Longevity Among National Basketball Association Players.

Martin CL. et al, (2021), Jama netw open, 4

Clinical Prediction Models in Sports Medicine: A Guide for Clinicians and Researchers.

Bullock GS. et al, (2021), J orthop sports phys ther, 51, 517 - 525

A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies: The AGReMA Statement.

Lee H. et al, (2021), Jama, 326, 1045 - 1056

Home-based rehabilitation programme compared with traditional physiotherapy for patients at risk of poor outcome after knee arthroplasty: the CORKA randomised controlled trial.

Barker KL. et al, (2021), Bmj open, 11

A home-based rehabilitation programme compared with traditional physiotherapy for patients at risk of poor outcome after knee arthroplasty: The CORKA randomised controlled trial.

BARKER K. et al, (2021), Bmj open

Characterization of polypharmacy in middle-aged and elderly adults in the UK: An analysis of 0.5 million people in UK Biobank

Xie J. et al, (2021), Pharmacoepidemiology and drug safety, 30, 164 - 164

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.

Collins GS. et al, (2021), Bmj open, 11

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