Method of model checking for case II interval-censored data under the additive hazards model
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Publication:6490396
DOI10.1002/CJS.11759MaRDI QIDQ6490396
Yanqin Feng, Jie-Li Ding, Ming Tang
Publication date: 23 April 2024
Published in: The Canadian Journal of Statistics (Search for Journal in Brave)
Cites Work
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- Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model
- Towards a general asymptotic theory for Cox model with staggered entry
- Rank estimation of log-linear regression with interval-censored data
- Efficient estimation for the proportional hazards model with interval censoring
- Weak convergence and empirical processes. With applications to statistics
- A model checking method for the additive hazards model with multivariate current status data
- Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data
- Model checking for additive hazards model with multivariate survival data
- The statistical analysis of interval-censored failure time data.
- Computationally simple accelerated failure time regression for interval censored data
- Martingale-based residuals for survival models
- Checking the marginal Cox model for correlated failure time data
- Additive hazards regression with current status data
- Checking the Cox model with cumulative sums of martingale-based residuals
- Semiparametric analysis of the additive risk model
- Efficient estimation in additive hazards regression with current status data
- A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
- Additive hazards regression for case-cohort studies
- Linear transformation models for interval-censored data
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