Gary S Collins

发表

Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small

Richard D Riley, Kym I E Snell, Glen P Martin, 2020, Journal of clinical epidemiology.

There are no shortcuts in the development and validation of a covid-19 prediction model.

Gary S Collins, Jie Ma, Paula Dhiman, 2020, Transboundary and emerging diseases.

Letter to the Editor: Models Developed Using Small Datasets Should be Appropriately Evaluated.

Gary S Collins, Yannick Le Manach, 2016, The Journal of clinical endocrinology and metabolism.

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

Gary S Collins, Karel G M Moons, Douglas G Altman, 2015, Annals of Internal Medicine.

Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported.

Richard D Riley, Rebecca Whittle, Gary S Collins, 2018, Journal of clinical epidemiology.

On the aggregation of published prognostic scores for causal inference in observational studies

Gary S Collins, Thomas P A Debray, Karel G M Moons, 2020, Statistics in medicine.

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Richard D Riley, Kym I E Snell, Gary S Collins, 2016, BMJ.

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement.

Gary S Collins, Karel G M Moons, Douglas G Altman, 2015, European urology.

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes

Richard D Riley, Gary S Collins, Johannes B Reitsma, 2018, Statistical methods in medical research.

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

Gary S Collins, Rayid Ghani, Harry Hemingway, 2020, BMJ.

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

Gary S Collins, Douglas G Altman, Emmanuel O Ogundimu, 2015, Statistics in medicine.

Issues in the design and analysis of a small external validation study.

Gary S Collins, Yannick Le Manach, 2014, Pancreas.

Statistics 'versus' machine learning: definitions are interesting (but understanding, methodology and reporting are more important).

Gary S Collins, Ewout W Steyerberg, Jan Y Verbakel, 2019, Journal of clinical epidemiology.

Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Gary S Collins, Johannes B Reitsma, Karel G M Moons, 2015, Journal of clinical epidemiology.

COVID-19 Prediction Models Need Robust and Transparent Development

Gary S Collins, 2021, Disaster medicine and public health preparedness.

An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study

Gary S Collins, Douglas G Altman, G. Collins, 2009, BMJ : British Medical Journal.

Reporting of participant flow diagrams in published reports of randomized trials

Gary S Collins, Sally Hopewell, Douglas G Altman, 2011, Trials.

Predicting the adverse risk of statin treatment: an independent and external validation of Qstatin risk scores in the UK

Gary S Collins, Douglas G Altman, G. Collins, 2012, Heart.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

Gary S Collins, Johannes B Reitsma, Douglas G Altman, 2015, BMC Medicine.

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Richard D Riley, Gary S Collins, Joie Ensor, 2018, Statistics in medicine.

Selection of single blastocysts for fresh transfer via standard morphology assessment alone and with array CGH for good prognosis IVF patients: results from a randomized pilot study

Gary S Collins, G. Collins, Zhihong Yang, 2012, Molecular Cytogenetics.

Comparing risk prediction models

Gary S Collins, Karel G M Moons, G. Collins, 2012, BMJ : British Medical Journal.

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

Gary S Collins, M Khair ElZarrad, David Moher, 2020, Nature Medicine.

Impact of peer review on reports of randomised trials published in open peer review journals: retrospective before and after study

Gary S Collins, Sally Hopewell, Douglas G Altman, 2014, BMJ : British Medical Journal.

An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study

Gary S Collins, Douglas G Altman, G. Collins, 2010, BMJ : British Medical Journal.

Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings.

Richard D Riley, Gary S Collins, Johannes B Reitsma, 2016, Journal of clinical epidemiology.

A robust imputation method for missing responses and covariates in sample selection models

Gary S Collins, Emmanuel O Ogundimu, G. Collins, 2019, Statistical methods in medical research.

Predicting the 10 year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2

Gary S Collins, Douglas G Altman, G. Collins, 2012, BMJ : British Medical Journal.

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal

Richard D Riley, Kym I E Snell, Gary S Collins, 2020 .

Conflicts at the heart of the FRAX tool

Gary S Collins, Pablo Alonso-Coello, Pierre Guy, 2014, Canadian Medical Association Journal.

Consequences of relying on statistical significance: Some illustrations

Gary S Collins, Ewout W Steyerberg, Tim Smits, 2018, European journal of clinical investigation.

Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model

Gary S Collins, Douglas G Altman, Jonathan A Cook, 2016, Statistics in medicine.

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

Richard D Riley, Gary S Collins, Maarten van Smeden, 2020, BMJ.

A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods.

Gary S Collins, Ly-Mee Yu, G. Collins, 2013, Journal of clinical epidemiology.

Fracture Risk Assessment: State of the Art, Methodologically Unsound, or Poorly Reported?

Gary S Collins, G. Collins, K. Michaëlsson, 2012, Current Osteoporosis Reports.

Predicting risk of osteoporotic and hip fracture in the United Kingdom: prospective independent and external validation of QFractureScores

Gary S Collins, Susan Mallett, Douglas G Altman, 2011, BMJ : British Medical Journal.

Prognostic models in obstetrics: available, but far from applicable.

Gary S Collins, Karel G M Moons, Ewoud Schuit, 2016, American journal of obstetrics and gynecology.

Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Richard D Riley, Kym I E Snell, Gary S Collins, 2018, Statistics in medicine.

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

Gary S Collins, M Khair ElZarrad, David Moher, 2020, BMJ.

A guide to systematic review and meta-analysis of prognostic factor studies

Richard D Riley, Kym I E Snell, Gary S Collins, 2019, British Medical Journal.

Early warning scores for detecting deterioration in adult hospital patients: a systematic review protocol

Gary S Collins, Jacqueline Birks, Peter J Watkinson, 2017, BMJ Open.

Interpreting diagnostic accuracy studies for patient care

Gary S Collins, Steve Halligan, Susan Mallett, 2012, BMJ : British Medical Journal.