Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small
2020 · Journal of Clinical Epidemiology · 123 citations
https://doi.org/10.1016/j.jclinepi.2020.12.005
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Rebecca Whittle
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Rebecca Whittle is an academic researcher. The author has contributed to research in topics: Osteoarthritis Treatment and Mechanisms & Meta-analysis and systematic reviews & Spondyloarthritis Studies and Treatments. The author has an h-index of 20, co-authored 68 publications.
ORCID: 0000-0003-1793-0135Papers by this author
worksApplying causal mediation methods to clinical trial data: What can we learn about why our interventions (don't) work?
2016 · European Journal of Pain · 56 citations
https://doi.org/10.1002/ejp.964
Trends in gabapentinoid prescribing in UK primary care using the Clinical Practice Research Datalink: an observational study
2023 · The Lancet Regional Health - Europe · 44 citations
https://doi.org/10.1016/j.lanepe.2022.100579
Gout and subsequent erectile dysfunction: a population-based cohort study from England
2017 · Arthritis Research & Therapy · 31 citations
https://doi.org/10.1186/s13075-017-1322-0
Importance of sample size on the quality and utility of AI-based prediction models for healthcare
2025 · The Lancet Digital Health · 20 citations
https://doi.org/10.1016/j.landig.2025.01.013
Safety of colchicine and NSAID prophylaxis when initiating urate-lowering therapy for gout: propensity score-matched cohort studies in the UK Clinical Practice Research Datalink
2023 · Annals of the Rheumatic Diseases · 18 citations
https://doi.org/10.1136/ard-2023-224154
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