3 papers
stat.ME2026
The Ghosh-Lin and Fine-Gray models for a mix of administrative and random censoring
Thomas H. Scheike, Christian Mirian, Isao Yokota +1
Recurrent events or competing risks regression models are often applied in the bio-medical setting and both can be considered as marginal models. In presence of right-censoring, su…
stat.ME2026
Restricted mean time lost for survival and competing risks data using mets in R
Thomas Harder Scheike, Klaus Kähler Holst
This paper introduces software implemented in the mets R-package for calculating non-parametric and regression estimates of Restricted Mean Survival Time (RMST) and Restricted Mean…
stat.ME2025
Propensity weighting plus adjustment in proportional hazards model is not doubly robust
Erin E Gabriel, Michael C Sachs, Ingeborg Waernbaum +5
Recently, it has become common for applied works to combine commonly used survival analysis modeling methods, such as the multivariable Cox model and propensity score weighting, wi…