Stagewise pseudo-value regression for time-varying effects on the cumulative incidence

Trends in Epidemiology, Treatment, and Survival of Hepatocellular Carcinoma Patients Between 1998 and 2009

(2013) Arndt Weinmann et al.   JOURNAL OF CLINICAL GASTROENTEROLOGY

Pseudo-observations for competing risks with covariate dependent censoring

(2013) Nadine Binder et al.   LIFETIME DATA ANALYSIS

Model building in nonproportional hazard regression

(2013) Mar Rodríguez-Girondo et al.   STATISTICS IN MEDICINE

Cox models with dynamic ridge penalties on time-varying effects of the covariates

(2013) Aris Perperoglou   STATISTICS IN MEDICINE

Absolute risk regression for competing risks: interpretation, link functions, and prediction

(2012) Thomas A. Gerds et al.   STATISTICS IN MEDICINE

Comparison of procedures to assess non-linear and time-varying effects in multivariable models for survival data

(2011) Anika Buchholz et al.   BIOMETRICAL JOURNAL

A general, prediction error-based criterion for selecting model complexity for high-dimensional survival models

(2010) Christine Porzelius et al.   STATISTICS IN MEDICINE

Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified

(2010) Nadine Grambauer et al.   STATISTICS IN MEDICINE

Boosting for high-dimensional time-to-event data with competing risks

(2009) H. Binder et al.   BIOINFORMATICS

Pseudo-observations in survival analysis

(2009) Per Kragh Andersen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Predicting cumulative incidence probability by direct binomial regression

(2008) T. H. Scheike et al.   BIOMETRIKA

Time-dependent covariates in the proportional subdistribution hazards model for competing risks

(2008) J. Beyersmann et al.   BIOSTATISTICS

On pseudo-values for regression analysis in competing risks models

(2008) Frederik Graw et al.   LIFETIME DATA ANALYSIS

Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples

(2008) Harald Binder et al.   Statistical Applications in Genetics and Molecular Biology