Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data
From MaRDI portal
Publication:6164154
DOI10.1007/s10985-023-09596-6MaRDI QIDQ6164154
Tianyi Lu, Shuwei Li, Liu-Quan Sun
Publication date: 27 July 2023
Published in: Lifetime Data Analysis (Search for Journal in Brave)
interval censoringestimating equationleft truncationpairwise pseudo-likelihoodadditive hazards regression
Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Cox's regression model for counting processes: A large sample study
- A transformation approach for the analysis of interval-censored failure time data
- Rank regression methods for left-truncated and right-censored data
- Computation of the NPMLE of distribution functions for interval censored and truncated data with applications to the Cox model.
- Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
- Efficient estimation for the additive hazards model in the presence of left-truncation and interval censoring
- Weak convergence and empirical processes. With applications to statistics
- Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction
- Nonparametric and semiparametric regression estimation for length-biased survival data
- The statistical analysis of interval-censored failure time data.
- Computationally simple accelerated failure time regression for interval censored data
- Semiparametric estimation for the additive hazards model with left-truncated and right-censored data
- Estimation in the Cox Proportional Hazards Model with Left-Truncated and Interval-Censored Data
- Goodness-of-Fit Methods for Additive-Risk Models in Tumorigenicity Experiments
- A pairwise likelihood augmented Cox estimator for left-truncated data
- Sieve maximum likelihood regression analysis of dependent current status data
- Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model
- An Extension of the Proportional-Hazards Model for Grouped Data
- On Some Convergence Properties of UStatistics
- Likelihood Methods and Nonparametric Tests
- Additive hazards regression with current status data
- A Nonparametric Test for Current Status Data With Unequal Censoring
- Semiparametric analysis of the additive risk model
- Nonparametric Estimation and Regression Analysis With Left-Truncated and Right-Censored Data
- Regression Analysis Under Non-standard Situations: A Pairwise Pseudolikelihood Approach
- A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- Semiparametric regression analysis of length‐biased interval‐censored data
- Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models
- Regression Analysis of Left-truncated and Case I Interval-censored Data with the Additive Hazards Model
- Statistical Models for Prevalent Cohort Data
- A Class of Statistics with Asymptotically Normal Distribution
- A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model
This page was built for publication: Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data