Smits, Luc J. M.

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · BMJ

COVID-19 Clinical Research StudiesStatistical Methods in Epidemiology

Cited by 3,070

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 1,039

A simple formula for the calculation of sample size in pilot studies

Viechtbauer, W., Smits, L., Kotz, D., Budé, L., Spigt, M., Serroyen, J., & Crutzen, R. (2015) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 612

Adherence rates to a prediction tool identifying women with an increased gestational diabetes risk: An implementation study

van Montfort, P., Scheepers, H. C. J., van Dooren, I. M. A., Meertens, L. J. E., Wynants, L., Zelis, M., Zwaan, I. M., Spaanderman, M. E. A., & Smits, L. J. M. (2021) · International Journal of Gynecology & Obstetrics

Gestational Diabetes Research and ManagementMaternal and Perinatal Health Interventions

Cited by 4