A new frailty-based GEE approach of the informatively case K interval-censored failure time data
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Publication:6588679
DOI10.1080/03610926.2023.2247505MaRDI QIDQ6588679
Bo Zhao, Shu-Ying Wang, Chunjie Wang
Publication date: 16 August 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
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- Longitudinal data analysis using generalized linear models
- Regression analysis of informative current status data with the additive hazards model
- An additive hazards cure model with informative interval censoring
- Semiparametric analysis of panel count data with correlated observation and follow-up times
- Bootstrap methods: another look at the jackknife
- On methods of sieves and penalization
- Rank estimation of log-linear regression with interval-censored data
- Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
- Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data
- Efficient estimation for the proportional hazards model with interval censoring
- Survival analysis. Techniques for censored and truncated data.
- Shape preserving representations and optimality of the Bernstein basis
- Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring
- The statistical analysis of interval-censored failure time data.
- Analysis of Failure Time Data with Dependent Interval Censoring
- Sieve maximum likelihood regression analysis of dependent current status data
- Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
- Analyzing Recurrent Event Data With Informative Censoring
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- Consistency of the GMLE with Mixed Case Interval‐Censored Data
- Regression analysis of bivariate current status data under the proportional hazards model
- Regression analysis of case K interval‐censored failure time data in the presence of informative censoring
- New methods for the additive hazards model with the informatively interval‐censored failure time data
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