Dynamic Pseudo-Observations: A Robust Approach to Dynamic Prediction in Competing Risks

Comparing predictions among competing risks models with time-dependent covariates

(2013) Giuliana Cortese et al.   STATISTICS IN MEDICINE

Dynamic prediction by landmarking in competing risks

(2012) M. A. Nicolaie et al.   STATISTICS IN MEDICINE

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

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

Could thyroid dysfunction influence outcome in sunitinib-treated metastatic renal cell carcinoma?

(2011) R. Sabatier et al.   ANNALS OF ONCOLOGY

Incorporating short-term outcome information to predict long-term survival with discrete markers

(2011) Layla Parast et al.   BIOMETRICAL JOURNAL

Conditional Survival and the Choice of Conditioning Set for Patients With Colon Cancer: An Analysis of NSABP Trials C-03 Through C-07

(2010) Beth A. Zamboni et al.   JOURNAL OF CLINICAL ONCOLOGY

Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach

(2009) C. Proust-Lima et al.   BIOSTATISTICS

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

SAS and R functions to compute pseudo-values for censored data regression

(2008) John P. Klein et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data

(2008) Hans C. van Houwelingen et al.   LIFETIME DATA ANALYSIS

On pseudo-values for regression analysis in competing risks models

(2008) Frederik Graw et al.   LIFETIME DATA ANALYSIS