Cox regression with missing covariate data using a modified partial likelihood method

DOI10.1007/s10985-015-9351-yzbMath1372.62047OpenAlexW2141690895WikidataQ31009907 ScholiaQ31009907MaRDI QIDQ2013305

Thomas H. Scheike, Torben Martinussen, Klaus Kähler Holst

Publication date: 17 August 2017

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-015-9351-y

zbMATH Keywords

survival dataCox modelrecursive estimationmissing covariate data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (3)

Estimation in a general semiparametric hazards regression model with missing covariates ⋮ Statistical inference under imputation for proportional hazard model with missing covariates ⋮ A class of weighted estimating equations for additive hazard models with covariates missing at random

Uses Software

• timereg

Cites Work

• Unnamed Item
• Generalized proportional hazards model based on modified partial likelihood
• Dynamic regression models for survival data.
• Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
• Checking the Cox model with cumulative sums of martingale-based residuals
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Double-Semiparametric Method for Missing Covariates in Cox Regression Models
• Proportional Hazards Regression with Missing Covariates
• Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions
• Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
• Cox Regression with Incomplete Covariate Measurements using the EM‐algorithm
• On the Singularities of the Information Matrix and Multipath Change-Point Problems
• Reweighting Estimators for Cox Regression With Missing Covariates
• Weighted Estimators for Proportional Hazards Regression With Missing Covariates
• A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors
• Statistical models based on counting processes

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