Semiparametric probit model for informative current status data
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Publication:6625642
DOI10.1002/sim.8106zbMATH Open1545.62305WikidataQ91285964 ScholiaQ91285964MaRDI QIDQ6625642
Tao Hu, Mingyue Du, Jianguo Sun
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Partial rank estimation of duration models with general forms of censoring
- Regression analysis of informative current status data with the additive hazards model
- Efficient estimation for the proportional hazards model with bivariate current status data
- The statistical analysis of interval-censored failure time data.
- Semiparametric probit models with univariate and bivariate current-status data
- Regression Analysis of Tumour Prevalence Data
- Sieve maximum likelihood regression analysis of dependent current status data
- The Weibull Distribution
- Additive hazards regression with current status data
- Semiparametric analysis of transformation models with censored data
- Nonparametric estimation from current status data with competing risks
- Regression analysis of informative current status data with the semiparametric linear transformation model
- Estimation of the mean function with panel count data using monotone polynomial splines
- Rank Estimation of Transformation Models
Related Items (3)
Overview of recent advances on the analysis of interval-censored failure time data ⋮ A conditional approach for regression analysis of case \(K\) interval-censored failure time data with informative censoring ⋮ Copula-based analysis of dependent current status data with semiparametric linear transformation model
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