Calibration drift in regression and machine learning models for acute kidney injury

• When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes

  2025 Clinical Kidney Journal article Health Professions Artificial Intelligence in Healthcare Open access

  8

  citations
• Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform

  2024 Wellcome Open Research article Medicine COVID-19 Clinical Research Studies Open access

  0

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

  2024 BMJ article Mathematics Statistical Methods in Epidemiology Open access

  737

  citations
• Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward

  2023 Behaviour Research and Therapy article Psychology Psychotherapy Techniques and Applications Open access

  106

  citations
• There is no such thing as a validated prediction model

  2023 BMC Medicine article Mathematics Statistical Methods in Epidemiology Open access

  274

  citations
• Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration

  2023 BMJ article Mathematics Statistical Methods in Epidemiology Open access

  56

  citations
• How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

  2021 Seminars in Immunopathology article Medicine Renal Diseases and Glomerulopathies Open access

  28

  citations
• Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform

  2020 Wellcome Open Research article Medicine COVID-19 Clinical Research Studies Open access

  2

  citations

8 results