| Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal L Wynants, B Van Calster, MMJ Bonten, GS Collins, TPA Debray, ... bmj 369, 2020 | 3390 | 2020 |
| A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models E Christodoulou, J Ma, GS Collins, EW Steyerberg, JY Verbakel, ... Journal of clinical epidemiology 110, 12-22, 2019 | 1630 | 2019 |
| Calibration: the Achilles heel of predictive analytics B Van Calster, DJ McLernon, M Van Smeden, L Wynants, EW Steyerberg, ... BMC medicine 17 (1), 230, 2019 | 1262 | 2019 |
| Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests AJ Vickers, B Van Calster, EW Steyerberg bmj 352, 2016 | 910 | 2016 |
| Reporting and interpreting decision curve analysis: a guide for investigators B Van Calster, L Wynants, JFM Verbeek, JY Verbakel, E Christodoulou, ... European urology 74 (6), 796-804, 2018 | 859 | 2018 |
| Simple ultrasound‐based rules for the diagnosis of ovarian cancer D Timmerman, AC Testa, T Bourne, L Ameye, D Jurkovic, ... Ultrasound in Obstetrics and Gynecology: The Official Journal of the …, 2008 | 769 | 2008 |
| A calibration hierarchy for risk models was defined: from utopia to empirical data B Van Calster, D Nieboer, Y Vergouwe, B De Cock, MJ Pencina, ... Journal of clinical epidemiology 74, 167-176, 2016 | 746 | 2016 |
| A simple, step-by-step guide to interpreting decision curve analysis AJ Vickers, B van Calster, EW Steyerberg Diagnostic and prognostic research 3, 1-8, 2019 | 712 | 2019 |
| Long-term cognitive and cardiac outcomes after prenatal exposure to chemotherapy in children aged 18 months or older: an observational study F Amant, K Van Calsteren, MJ Halaska, MM Gziri, W Hui, L Lagae, ... Lancet Oncology 13 (3), 256-264, 2012 | 680* | 2012 |
| Antenatal maternal anxiety is related to HPA-axis dysregulation and self-reported depressive symptoms in adolescence: a prospective study on the fetal origins of depressed mood BRH Van den Bergh, B Van Calster, T Smits, S Van Huffel, L Lagae Neuropsychopharmacology 33 (3), 536-545, 2008 | 614 | 2008 |
| Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group D Timmerman, AC Testa, T Bourne, E Ferrazzi, L Ameye, ... Journal of clinical oncology 23 (34), 8794-8801, 2005 | 595 | 2005 |
| Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial … GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft, JB Reitsma, P Logullo, ... BMJ open 11 (7), e048008, 2021 | 579 | 2021 |
| Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary … B Van Calster, K Van Hoorde, L Valentin, AC Testa, D Fischerova, ... Bmj 349, 2014 | 562* | 2014 |
| Justify your alpha D Lakens, FG Adolfi, CJ Albers, F Anvari, MAJ Apps, SE Argamon, ... Nature human behaviour 2 (3), 168-171, 2018 | 539 | 2018 |
| Prognosis of women with primary breast cancer diagnosed during pregnancy: results from an international collaborative study F Amant, G von Minckwitz, SN Han, M Bontenbal, AE Ring, J Giermek, ... Journal of Clinical Oncology 31 (20), 2532-2539, 2013 | 405 | 2013 |
| Oncological management and obstetric and neonatal outcomes for women diagnosed with cancer during pregnancy: a 20-year international cohort study of 1170 patients J de Haan, M Verheecke, K Van Calsteren, B Van Calster, RG Shmakov, ... The Lancet Oncology 19 (3), 337-346, 2018 | 393 | 2018 |
| Treatment of breast cancer during pregnancy: an observational study S Loibl, SN Han, G von Minckwitz, M Bontenbal, A Ring, J Giermek, ... The lancet oncology 13 (9), 887-896, 2012 | 388 | 2012 |
| Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group D Timmerman, B Van Calster, A Testa, L Savelli, D Fischerova, ... American journal of obstetrics and gynecology 214 (4), 424-437, 2016 | 387 | 2016 |
| TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ... bmj 385, 2024 | 379 | 2024 |
| Calibration of risk prediction models: impact on decision-analytic performance B Van Calster, AJ Vickers Medical decision making 35 (2), 162-169, 2015 | 377 | 2015 |
Dirk TimmermanProfessor Gynecology, KU Leuven; Visiting Professor Imperial College London; Sacro Cuore RomeZweryfikowany adres z uzleuven.be