Causal inference in survival analysis using pseudo-observations

A Note on the Large Sample Properties of Estimators Based on Generalized Linear Models for Correlated Pseudo-observations

(2016) Martin Jacobsen et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Instrumental variable method for time-to-event data using a pseudo-observation approach

(2015) Maiken I. S. Kjaersgaard et al.   BIOMETRICS

Regression models for expected length of stay

(2015) Mia Klinten Grand et al.   STATISTICS IN MEDICINE

Long-term survival after allogeneic haematopoietic cell transplantation for AML in remission: single-centre results after TBI-based myeloablative and non-myeloablative conditioning

(2013) H Sengeløv et al.   BONE MARROW TRANSPLANTATION

Pseudo-observations for competing risks with covariate dependent censoring

(2013) Nadine Binder et al.   LIFETIME DATA ANALYSIS

On collapsibility and confounding bias in Cox and Aalen regression models

(2013) Torben Martinussen et al.   LIFETIME DATA ANALYSIS

Decomposition of number of life years lost according to causes of death

(2013) P. K. Andersen   STATISTICS IN MEDICINE

The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments

(2013) Peter C. Austin   STATISTICS IN MEDICINE

Methods for dealing with time-dependent confounding

(2012) R.M. Daniel et al.   STATISTICS IN MEDICINE

Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique

(2011) Jonathan M. Snowden et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Doubly Robust Estimation of Causal Effects

(2011) Michele Jonsson Funk et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

(2011) Peter C. Austin   MULTIVARIATE BEHAVIORAL RESEARCH

Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes

(2009) Peter C. Austin   JOURNAL OF CLINICAL EPIDEMIOLOGY

Pseudo-observations in survival analysis

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

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

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

On pseudo-values for regression analysis in competing risks models

(2008) Frederik Graw et al.   LIFETIME DATA ANALYSIS