Semiparametric copula-based analysis for treatment effects in the presence of treatment switching
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Publication:6627559
DOI10.1002/SIM.8585zbMATH Open1546.62323MaRDI QIDQ6627559
Jinn-Li Wang, Mey Wang, Yi-Hau Chen, Chiahui Huang
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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- Maximum likelihood analysis of semicompeting risks data with semiparametric regression models
- An introduction to copulas.
- Semiparametric regression analysis of clustered survival data with semi-competing risks
- Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study
- Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
- Efficient estimation of semiparametric transformation models for counting processes
- Regression Survival Analysis with an Assumed Copula for Dependent Censoring: A Sensitivity Analysis Approach
- Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
- Semiparametric Marginal Regression Analysis for Dependent Competing Risks Under an Assumed Copula
- Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
- Estimates of marginal survival for dependent competing risks based on an assumed copula
- Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
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