Semiparametric inference procedure for the accelarated failure time model with interval-censored data
In this thesis new inference procedures are proposed for estimating the parameters of the accelerated failure time (AFT) model in the presence of interval-censored data. In the literature, a variety of semiparametric inference procedures are suggested by previous research for estimating the param...
Main Author: | Karimi, Mostafa |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/113988/1/113988.pdf |
Similar Items
-
Extended semiparametric mixture cure models for interval censored data
by: Liu, Xiaoyu
Published: (2020) -
Semiparametric sieve maximum likelihood estimation for interval censored data with/without cure fraction
by: Szabo, Zsolt
Published: (2018) -
Modelling and inference for complex survical data under interval censoring
by: Ma, Xiangmei
Published: (2012) -
Inference and diagnostics for generalized exponential distribution with fixed and time-dependent covariates and interval censored data
by: Al Hakeem, Hussein Ali Ghaffoori
Published: (2022) -
Semiparametric inference for proportional mean residual life models with clustered survival data
by: Huang, Rui
Published: (2020)