A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model
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Publication:6628172
DOI10.1002/SIM.9184zbMATH Open1546.62473MaRDI QIDQ6628172
Tao Hu, Jianguo Sun, Tian Tian, Shuwei Li
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
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Cites Work
- Title not available (Why is that?)
- Cox's regression model for counting processes: A large sample study
- Misclassification of current status data
- Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
- Efficient estimation for the proportional hazards model with interval censoring
- The statistical analysis of interval-censored failure time data.
- Bayesian Models for Multivariate Current Status Data with Informative Censoring
- Goodness-of-Fit Methods for Additive-Risk Models in Tumorigenicity Experiments
- Simulation-Extrapolation: The Measurement Error Jackknife
- A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
- Marginal methods for correlated binary data with misclassified responses
- Semiparametric group testing regression models
- Sieve maximum likelihood regression analysis of dependent current status data
- An Extension of the Proportional-Hazards Model for Grouped Data
- Additive hazards regression with current status data
- Semiparametric analysis of the additive risk model
- Simulation-Extrapolation Estimation in Parametric Measurement Error Models
- Efficient estimation in additive hazards regression with current status data
- Nonparametric estimation from current status data with competing risks
- Functional Inference in Frailty Measurement Error Models for Clustered Survival Data Using the SIMEX Approach
- Regression analysis of misclassified current status data
- Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data
- Regression Analysis of Additive Hazards Model With Latent Variables
- Maximum likelihood estimation for semiparametric transformation models with interval-censored data
- Misclassified group-tested current status data
- Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach
- Regression Analysis of a Disease Onset Distribution Using Diagnosis Data
- A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX
- Measurement Error in Nonlinear Models
- A flexible AFT model for misclassified clustered interval‐censored data
- Using simulation studies to evaluate statistical methods
Related Items (3)
Misclassification simulation extrapolation procedure for interval-censored log-logistic accelerated failure time model ⋮ Efficient estimation for the proportional hazards model with left-truncated and interval-censored data ⋮ Distributed additive hazards regression analysis of multi-site current status data without using individual-level data
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