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Search results (29)

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Peer review of prediction model studies in oncology needs improvement: A systematic review of open peer review reports from BMC journals.

Ma J. et al, (2025), J Clin Epidemiol, 188

Peer review reports of randomized controlled trials in oncology can be short and superficial.

Logullo P. et al, (2025), J Clin Epidemiol, 185

Development of a multicentre cohort study to understand the role of MRI and ultrasound in the diagnosis of acute haematogenous bone and joint infection in children (the PIC Bone study) : a study protocol.

Nogaro M-C. et al, (2025), Bone Jt Open, 6, 677 - 684

Evaluation of comorbidity measures for predicting mortality and revision surgery after elective primary shoulder replacement surgery based on data from the National Joint Registry and Hospital Episode Statistics for England: population based cohort study.

Valsamis EM. et al, (2025), BMJ Med, 4

Clinical prediction models using machine learning in oncology: challenges and recommendations.

Collins GS. et al, (2025), BMJ Oncol, 4

Prediction model protocols indicate better adherence to recommended guidelines for study conduct and reporting.

Dhiman P. et al, (2024), J Clin Epidemiol, 169

Evaluation of clinical prediction models (part 1): from development to external validation.

Collins GS. et al, (2024), BMJ, 384

Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review.

Ma J. et al, (2023), J Clin Epidemiol, 161, 140 - 151

Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review.

Dhiman P. et al, (2023), BMC Med Res Methodol, 23

Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery.

Dhiman P. et al, (2023), J Clin Epidemiol, 159, 10 - 30

Systematic review finds "spin" practices and poor reporting standards in studies on machine learning-based prediction models.

Andaur Navarro CL. et al, (2023), J Clin Epidemiol, 158, 99 - 110

Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review.

Dhiman P. et al, (2023), J Clin Epidemiol, 157, 120 - 133

Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol.

Fields KG. et al, (2023), BMJ Open, 13

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models.

Andaur Navarro CL. et al, (2023), J Clin Epidemiol, 154, 8 - 22

Artificial intelligence in lung cancer diagnostic imaging: a review of the reporting and conduct of research published 2018-2019.

Logullo P. et al, (2023), BJR Open, 5

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