< Back to previous page
Researcher
Kelly Van Lancker
- Disciplines:Statistics
Affiliations
- Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From1 Sep 2017 → Today
Projects
1 - 1 of 1
- Development of a data-informed causal expert system for personalized treatment recommendationsFrom1 Sep 2022 → TodayFunding: BOF - postdoctoral mandates
Publications
1 - 7 of 7
- Assumption-lean cox regression(2024)
Authors: Stijn Vansteelandt, Oliver Dukes, Kelly Van Lancker, Torben Martinussen
Pages: 475 - 484 - PROMISE : effect of protein supplementation on fat-free mass preservation after bariatric surgery, a randomized double-blind placebo-controlled trial(2023)
Authors: A. E. Taselaar, A. J. Boes, R. W. F. de Bruin, T. M. Kuijper, Kelly Van Lancker, E. van der Harst, R. A. Klaassen
- Efficient, doubly robust estimation of the effect of dose switching for switchers in a randomized clinical trial(2021)
Authors: Kelly Van Lancker, An Vandebosch, Stijn Vansteelandt
Pages: 1464 - 1475 - Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint(2021)
Authors: Kelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
Pages: 4108 - 4121 - Improving interim decisions in randomized trials by exploiting information on short-term endpoints and prognostic baseline covariates(2020)
Authors: Kelly Van Lancker, An Vandebosch, Stijn Vansteelandt
Pages: 583 - 601 - Evaluating futility of a binary clinical endpoint using early readU+2010outs(2019)
Authors: Kelly Van Lancker, Stijn Vansteelandt, Filip De Ridder
Pages: 5361 - 5375 - Optimizing treatment effect estimation in randomized trials by leveraging baseline covariates and early read-outs
Authors: Kelly Van Lancker