- Renal epidemiology
- Prediction research
- Statistics / methodology
Merel van Diepen works as a postdoctoral researcher in the field of renal epidemiology. With a background and PhD in econometrics, obtained in January 2009, her expertise is in statistical and methodological issues. She is currently working on several research projects on various databases, with a particular interest in prediction research. She is involved in the supervision of PhD students and in teaching several courses. Since 2012 she has also been one of the regular statistical advisors for Kidney International.
- “Predicting mortality in patients with diabetes starting dialysis” (M. van Diepen, M.A. Schroijen, O.M. Dekkers, J.I. Rotmans, R.T. Krediet, E.W. Boeschoten, F.W. Dekker), PlosOne, 9-3 (2014), e89744.
- “Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery—development and validation of a risk score and effect of acute kidney injury on survival: observational cohort study” (Samira Bell, Friedo W Dekker, Thenmalar Vadiveloo, Charis Marwick, Harshal Deshmukh, Peter T Donnan, Merel Van Diepen) – British Medical Journal, 2015
- “Prediction versus aetiology: common pitfalls and how to avoid them” (M. van Diepen, C.L. Ramspek, K.J. Jager, C. Zoccali, F.W. Dekker) – NDT, 2017
- “Effect of glomerular filtration rate at dialysis initiation on survival in patients with advanced chronic kidney disease: What is the effect of lead-time bias?” (Cynthia J Janmaat, Merel van Diepen, Raymond T Krediet, Marc H Hemmelder, Friedo W Dekker for the NECOSAD study group) – Clinical Epidemiology, 2017
- “Prediction models for the mortality risk in chronic dialysis patients: A systematic review and independent external validation study” (Chava L. Ramspek, Pauline W. M. Voskamp, Frans J. van Ittersum, Raymond T. Krediet, Friedo W. Dekker, Merel van Diepen for the NECOSAD study group) – Clinical Epidemiology, 2017
Publicaties op PubMed van M. van Diepen
Leids Universitair Medisch Centrum
2333 ZA Leiden
Tel: +31 71 526 6914
2300 RC Leiden