Survival Analysis Group LUMC's Projects
Performing covariate adjustment on cumulative incidence curves for competing risks data, and comparing various approaches to covariate adjustment via simulation.
Landing site for 2024 course "Advanced Survival Analysis", given in Leiden (the Netherlands).
Benchmarking survival outcomes: A funnel plot for survival data
Code accompanying the manuscript "Extending multistate models with g-computation to evaluate treatment delay"
Code and supplementary materials for the manuscript "Multiple imputation for cause-specific Cox models: assessing methods for estimation and prediction" (2022, Statistical Methods in Medical Research)
Code repository for the paper "The disconnect between development and intended use of clinical prediction models for Covid-19: a systematic review and real-world data illustration"
Code and datasets used in book "Dynamic Prediction in Clinical Survival Analysis" by Hans van Houwelingen and Hein Putter (2011)
Code and results of Section 4 of the paper "Fine-Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: cumulative total failure probability may exceed 1", by Peter Austin, Ewout Steyerberg & Hein Putter
Code repository for the manuscript 'Multiple imputation of missing covariates when using the Fine–Gray model' (submitted)
Code accompanying the manuscript "Why you should avoid using multiple Fine–Gray models: insights from (attempts at) simulating proportional subdistribution hazards data" (2024, JRSS-A)
R-code and output of all analyses in Balan & Putter (2020): A tutorial in frailty models, Statistical Methods in Medical Research, vol. 29(11), 3424-3454, https://journals.sagepub.com/doi/full/10.1177/0962280220921889.
Code and supplementary materials for the manuscript "Joint models quantify associations between T-cell kinetics and allo-immunological events after allogeneic stem cell transplantation and subsequent donor lymphocyte infusion" (2023, Frontiers in Immunology)
Code for the paper "Landmarking 2.0: Bridging the gap between joint models and landmarking" by Hein Putter & Hans van Houwelingen
Code and supplementary materials for the manuscript "Handling missing covariate data in clinical studies in haematology" (2023, Best Practice & Research Clinical Haematology)
Performance evaluation of predictions under interventions using longitudinal observational data
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)