Marginal regression of recurrent gap times based on semiparametric transformation cure model
From MaRDI portal
Publication:5082614
DOI10.1080/03610918.2019.1583343zbMath1489.62357OpenAlexW2921855278MaRDI QIDQ5082614
Publication date: 21 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1583343
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)
Related Items (2)
The Cox-Aalen model for doubly censored data ⋮ Equivalence tests for the difference of two survival functions under the class of box-Cox transformation model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Modeling gap times between recurrent events by marginal rate function
- Marginal analysis of multivariate failure time data with a surviving fraction based on semiparametric transformation cure models
- A dynamic Mover-Stayer model for recurrent event processes subject to resolution
- Statistical models for recurrent events and death: application to cancer events
- Data. A collection of problems from many fields for the student and research worker
- Marginal regression of gaps between recurrent events
- A class of transformed hazards models for recurrent gap times
- Estimating marginal effects in accelerated failure time models for serial sojourn times among repeated events
- A multiple time scale survival model with a cure fraction
- The statistical analysis of recurrent events.
- Marginal regression of multivariate event times based on linear transformation models
- On semiparametric transformation cure models
- Efficient estimation of semiparametric transformation models for counting processes
- The accelerated gap times model
- Analysis of transformation models with censored data
- An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
- A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
- Maximum Likelihood Estimation in the Proportional Odds Model
- Semiparametric analysis of transformation models with censored data
- Semiparametric Inference in the Proportional Odds Regression Model
- Nonparametric Estimation of a Recurrent Survival Function
- Conditional Regression Analysis for Recurrence Time Data
- Estimation in a Cox Proportional Hazards Cure Model
- A Nonparametric Mixture Model for Cure Rate Estimation
- A Frailty Mixture Cure Model with Application to Hospital Readmission Cata
- A mixture model combining logistic regression with proportional hazards regression
This page was built for publication: Marginal regression of recurrent gap times based on semiparametric transformation cure model
