Parametric maximum likelihood estimation of cure fraction using interval-censored data
A significant proportion of patients in cancer clinical trials can be cured. That is, the symptoms of the disease disappear completely and the disease never recurs. In this article, the focus is on estimation of the proportion of patients who are cured. The parametric maximum likelihood estimati...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Columbia International Publishing
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/30398/1/Parametric%20maximum%20likelihood%20estimation%20of%20cure%20fraction%20using%20interval.pdf http://psasir.upm.edu.my/id/eprint/30398/ http://dx.doi.org/10.7726/jac.2013.1004 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | A significant proportion of patients in cancer clinical trials can be cured. That is, the symptoms of the disease
disappear completely and the disease never recurs. In this article, the focus is on estimation of the proportion
of patients who are cured. The parametric maximum likelihood estimation method was used for estimation of
the cure fraction based on application of the bounded cumulative hazard (BCH) model to interval-censored
data. We ran the analysis using the EM algorithm considering two cases: i) when no covariates were involved
in the estimation, and ii) when some covariates were involved. This paper shows derivation of the estimation
equations for the cure rate parameter followed by a simulation study. |
|---|