Bootstrapping complex time-to-event data without individual patient data, with a view toward time-dependent exposures

Cites Work

Unnamed Item
A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model
Survival and event history analysis. A process point of view
Estimating stage occupation probabilities in non-Markov models
Occam's razor
Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models
Survival analysis. Techniques for censored and truncated data.
The wild bootstrap for multivariate Nelson-Aalen estimators
Random truncation models and Markov processes
A survey of product-integration with a view toward application in survival analysis
Competing Risks and Time-Dependent Covariates
Joint Models for Longitudinal and Time-to-Event Data
Dynamic modelling and causality
Robust Inference for Event Probabilities with Non-Markov Event Data
Competing Risks and Multistate Models with R
Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
Time-dependent covariates in the proportional subdistribution hazards model for competing risks
A nonidentifiability aspect of the problem of competing risks.
The Analysis of Failure Times in the Presence of Competing Risks
A simulation approach for power calculation in large cohort studies based on multistate models
A wild bootstrap approach for the Aalen–Johansen estimator
Past, Present, and Future of Statistical Science
Multistate modeling and simulation of patient trajectories after allogeneic hematopoietic stem cell transplantation to inform drug development
Statistical models based on counting processes