Goodness-of-fit inference for the additive hazards regression model with clustered current status data
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Publication:6164645
DOI10.1080/02664763.2022.2053950OpenAlexW4221071117MaRDI QIDQ6164645
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Publication date: 28 July 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291921
correlated failure timesmodel checkingclustered dataadditive hazards modelcurrent status datamartingale residual
Cites Work
- Unnamed Item
- Estimation of the additive hazards model with current status data in the presence of informative censoring
- Efficient estimation for semiparametric varying-coefficient partially linear regression models with current status data
- Towards a general asymptotic theory for Cox model with staggered entry
- Regression analysis of bivariate current status data under the gamma-frailty proportional hazards model using the EM algorithm
- Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model
- Weak convergence and empirical processes. With applications to statistics
- A model checking method for the additive hazards model with multivariate current status data
- Model checking for additive hazards model with multivariate survival data
- Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data
- Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model
- Martingale-based residuals for survival models
- Bayesian Proportional Odds Models for Analyzing Current Status Data: Univariate, Clustered, and Multivariate
- Analysis of Multiple Tumor Data from a Rodent Carcinogenicity Experiment
- 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
- Regression analysis of bivariate current status data under the proportional hazards model
- Semiparametric regression of clustered current status data
- Efficient estimation of a varying-coefficient partially linear proportional hazards model with current status data
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