Pages that link to "Item:Q4956049"
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The following pages link to Cox Regression with Incomplete Covariate Measurements using the EM‐algorithm (Q4956049):
Displaying 20 items.
- Balancing treatment assignment over all observed covariates in clinical trials (Q526974) (← links)
- Maximum likelihood estimation in a partially observed stratified regression model with censored data (Q652613) (← links)
- Large sample results for frequentist multiple imputation for Cox regression with missing covariate data (Q778878) (← links)
- Maximum likelihood inference for the Cox regression model with applications to missing covariates (Q842920) (← links)
- Using the EM-algorithm for survival data with incomplete categorical covariates (Q1126018) (← links)
- Maximum likelihood estimation for linear regression models with right censored outcomes and missing predictors. (Q1285510) (← links)
- Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates (Q1698940) (← links)
- Cox regression with missing covariate data using a modified partial likelihood method (Q2013305) (← links)
- Marker-dependent observation and carry-forward of internal covariates in Cox regression (Q2087746) (← links)
- Using informative priors for handling missing data problem in Cox regression (Q3133034) (← links)
- Non-Ignorable Missing Covariate Data in Survival Analysis: A Case-Study of an International Breast Cancer Study Group Trial (Q3435809) (← links)
- Stratified Logrank Test of No Randomized Treatment Effect with Missing Stratum Information (Q3532762) (← links)
- Identifiability assumptions for missing covariate data in failure time regression models (Q3592115) (← links)
- On regression analysis with incomplete covariate data (Q4223792) (← links)
- Statistical inference under imputation for proportional hazard model with missing covariates (Q4605237) (← links)
- Maximum Likelihood Estimation for Cox's Regression Model Under Case-Cohort Sampling (Q4677096) (← links)
- Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies (Q4975357) (← links)
- An index of local sensitivity to non-ignorability for parametric survival models with potential non-random missing covariate: an application to the SEER cancer registry data (Q5127102) (← links)
- EM algorithms for beta kernel distributions (Q5219245) (← links)
- Joint Modeling of Progression of HIV Resistance Mutations Measured with Uncertainty and Failure Time Data (Q5427399) (← links)