A calibrated Bayesian method for the stratified proportional hazards model with missing covariates
From MaRDI portal
Publication:2134152
DOI10.1007/s10985-021-09542-4OpenAlexW4206795086MaRDI QIDQ2134152
Publication date: 6 May 2022
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-021-09542-4
Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)
Uses Software
Cites Work
- Unnamed Item
- Cox's regression model for counting processes: A large sample study
- Bayesian variable selection for the Cox regression model with missing covariates
- Weak convergence of posteriors conditional on maximum pseudo-likelihood estimates and implications in ABC
- Asymptotics of estimating equations under natural conditions.
- Multiple imputation for the Cox proportional hazards model with missing covariates
- Bayesian methods for missing covariates in cure rate models
- Survival analysis. Techniques for censored and truncated data.
- Bayesian adaptive B-spline estimation in proportional hazards frailty models
- Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
- Non-Ignorable Missing Covariate Data in Survival Analysis: A Case-Study of an International Breast Cancer Study Group Trial
- Partial likelihood
- Inference and missing data
- The Analysis of Failure Times in the Presence of Competing Risks
- Cox Regression with Incomplete Covariate Measurements
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Proportional Hazards Regression with Missing Covariates
- On Inverse Probability Weighting for Nonmonotone Missing at Random Data
- Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
- Auxiliary covariate data in failure time regression
- An approximate Bayesian inference on propensity score estimation under unit nonresponse
- Reweighting Estimators for Cox Regression With Missing Covariates
- A Generalization of Sampling Without Replacement From a Finite Universe
This page was built for publication: A calibrated Bayesian method for the stratified proportional hazards model with missing covariates
