HazardDiff - Conditional Treatment Effect for Competing Risks
The conditional treatment effect for competing risks data in observational studies is estimated. While it is described as a constant difference between the hazard functions given the covariates, we do not assume specific functional forms for the covariates. Rava, D. and Xu, R. (2021) <arXiv:2112.09535>.
Last updated 3 years ago
1.00 score 149 downloadsR2Addhaz - R2 Measure of Explained Variation under the Additive Hazards Model
R^2 measure of explained variation under the semiparametric additive hazards model is estimated. The measure can be used as a measure of predictive capability and therefore it can be adopted in model selection process. Rava, D. and Xu, R. (2020) <arXiv:2003.09460>.
Last updated 5 years ago
1.00 score 119 downloads