Rank-based inference for the accelerated failure time model in the presence of interval censored data
Semiparametric analysis and rank-based inference for the accelerated failure time model are complicated in the presence of interval censored data. The main difficulty with the existing rank-based methods is that they involve estimating functions with the possibility of multiple roots. In this paper...
Saved in:
Main Authors: | Karimi, Mostafa, Ibrahim, Noor Akma, Abu Bakar, Mohd Rizam, Arasan, Jayanthi |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
AIP Publishing
2016
|
Online Access: | http://psasir.upm.edu.my/id/eprint/57161/1/Rank-based%20inference%20for%20the%20accelerated%20failure%20time%20model%20in%20the%20presence%20of%20interval%20censored%20data.pdf http://psasir.upm.edu.my/id/eprint/57161/ http://aip.scitation.org/doi/abs/10.1063/1.4952568 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A resampling method for estimating the covariance matrix in semiparametric accelerated failure time model with interval censored data
by: Karimi, Mostafa, et al.
Published: (2016) -
Parametric and nonparametric inference for partly interval-censored failure time data
by: Mohammad Alharpy, Azzah
Published: (2013) -
Rank regression for modeling bus dwell time in the presence of censored observations
by: Karimi, Mostafa, et al.
Published: (2019) -
A cluster sampling approach for regression analysis of interval censored failure time data
by: Arlin, Rifina, et al.
Published: (2009) -
Simulation of interval censored data in medical and biological studies.
by: Kiani, Kaveh, et al.
Published: (2011)