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Journal of Clinical Epidemiology|March 21, 2020
Prior event rate ratio adjustment produced estimates consistent with randomized trial: a diabetes case studyLauren R Rodgers, John M Dennis, Beverley M Shields, et al.
Wellcome Open Research|October 10, 2025
Triangulating Instrumental Variable, confounder adjustment and difference-in-difference methods for comparative effectiveness research in observational dataLaura M Güdemann, John M Dennis, Andrew P McGovern, et al.
BMC Medical Research Methodology|June 4, 2024
Comparison of Bayesian approaches for developing prediction models in rare disease: application to the identification of patients with Maturity-Onset Diabetes of the YoungPedro Cardoso, Timothy J McDonald, Kashyap A Patel, et al.
BMC Pediatrics|August 25, 2022
Assessing whether genetic scores explain extra variation in birthweight, when added to clinical and anthropometric measuresManeka Haulder, Alice E Hughes, Robin N Beaumont, et al.
Clinical Kidney Journal|August 11, 2018
Exocrine pancreatic dysfunction is common in hepatocyte nuclear factor 1β-associated renal disease and can be symptomaticRhian L Clissold, Jon Fulford, Michelle Hudson, et al.
Plos One|June 27, 2013
Use of HbA1c in the identification of patients with hyperglycaemia caused by a glucokinase mutation: observational case control studiesAnna M Steele, Kirsty J Wensley, Sian Ellard, et al.
Diabetes, Obesity & Metabolism|April 21, 2026
Higher Body Mass Index Is a Causal Risk Factor for Skin Infections: A Mendelian Randomisation Study Using UK Biobank and FinnGenRhian Hopkins, Ethan de Villiers, Michael N Weedon, et al.
BMC Medical Informatics and Decision Making|June 16, 2023
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicineAshwini Venkatasubramaniam, Bilal A Mateen, Beverley M Shields, et al.
Diabetes Care|January 29, 2011
Urinary C-peptide creatinine ratio is a practical outpatient tool for identifying hepatocyte nuclear factor 1-{alpha}/hepatocyte nuclear factor 4-{alpha} maturity-onset diabetes of the young from long-duration type 1 diabetesRachel E J Besser, Maggie H Shepherd, Timothy J McDonald, et al.
Diagnostic and Prognostic Research|July 2, 2020
Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adultsAnita L Lynam, John M Dennis, Katharine R Owen, et al.
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