标题
Causal inference in survival analysis using pseudo-observations
作者
关键词
-
出版物
STATISTICS IN MEDICINE
Volume 36, Issue 17, Pages 2669-2681
出版商
Wiley
发表日期
2017-04-07
DOI
10.1002/sim.7297
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started