Nonparametric test for stratum effects in the cox model with interval-censored data
From MaRDI portal
Publication:5022774
DOI10.1080/03610926.2017.1408832OpenAlexW2774284810MaRDI QIDQ5022774
Jianguo Sun, Xiaodong Fan, Shishun Zhao
Publication date: 19 January 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1408832
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Bayesian approach for analyzing case 2 interval-censored data under the semiparametric proportional odds model
- Semiparametric transformation models with Bayesian P-splines
- Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model
- A new class of generalized log rank tests for interval-censored failure time data
- The statistical analysis of interval-censored failure time data.
- A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
- Mean residual life models with time-dependent coefficients under right censoring
- Maximum Likelihood Estimation for the Proportional Hazards Model with Partly Interval-Censored Data
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- Generalized Log‐Rank Tests for Partly Interval‐Censored Failure Time Data
- On Nonparametric Maximum Likelihood Estimations of Multivariate Distribution Function Based on Interval-Censored Data
- Statistical models based on counting processes
- Nonparametric tests for stratum effects in the Cox model
This page was built for publication: Nonparametric test for stratum effects in the cox model with interval-censored data
