Stratified Logrank Test of No Randomized Treatment Effect with Missing Stratum Information
From MaRDI portal
Publication:3532762
DOI10.1080/03610920801983201zbMath1147.62084OpenAlexW2129422770MaRDI QIDQ3532762
Publication date: 28 October 2008
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920801983201
Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Testing in survival analysis and censored data (62N03)
Related Items (1)
Cites Work
- Regression calibration for logistic regression with multiple surrogates for one exposure
- Survival analysis. Techniques for censored and truncated data
- A comparison of regression calibration approaches for designs with internal validation data
- Weak convergence and empirical processes. With applications to statistics
- Dynamic regression models for survival data.
- Semiparametric theory and missing data.
- A Risk Set Calibration Method for Failure Time Regression by Using a Covariate Reliability Sample
- Testing Equality of Survival Functions of Quality-Adjusted Lifetime
- Non-Ignorable Missing Covariate Data in Survival Analysis: A Case-Study of an International Breast Cancer Study Group Trial
- Local Regression and Likelihood
- Regression Calibration in Failure Time Regression
- On using the Cox proportional hazards model with missing covariates
- Proportional Hazards Regression with Missing Covariates
- Estimation in the Cox Model with Missing Covariate Data
- Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
- Cox Regression with Incomplete Covariate Measurements using the EM‐algorithm
- Weighted Estimators for Proportional Hazards Regression With Missing Covariates
- Statistical models based on counting processes
This page was built for publication: Stratified Logrank Test of No Randomized Treatment Effect with Missing Stratum Information