On the likelihood of mixture cure models

Antai Wang; Yilong Zhang; Yongzhao Shao

doi:10.1016/j.spl.2017.08.006

On the likelihood of mixture cure models

Antai Wang, Yilong Zhang, Yongzhao Shao

Mathematical Sciences

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The EM algorithm has been used for inference of the mixture cure models. However, the complete-data and incomplete-data specifications have never been postulated appropriately in literature. The goal of this paper is to fill in this gap by deriving proper specifications.

Original language	English (US)
Pages (from-to)	51-55
Number of pages	5
Journal	Statistics and Probability Letters
Volume	131
DOIs	https://doi.org/10.1016/j.spl.2017.08.006
State	Published - Dec 2017

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

Keywords

Complete-data likelihood
EM algorithm
Mixture cure model
Survival transformation models

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10.1016/j.spl.2017.08.006

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title = "On the likelihood of mixture cure models",

abstract = "The EM algorithm has been used for inference of the mixture cure models. However, the complete-data and incomplete-data specifications have never been postulated appropriately in literature. The goal of this paper is to fill in this gap by deriving proper specifications.",

keywords = "Complete-data likelihood, EM algorithm, Mixture cure model, Survival transformation models",

author = "Antai Wang and Yilong Zhang and Yongzhao Shao",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier B.V.",

year = "2017",

month = dec,

doi = "10.1016/j.spl.2017.08.006",

language = "English (US)",

volume = "131",

pages = "51--55",

journal = "Statistics and Probability Letters",

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T1 - On the likelihood of mixture cure models

AU - Wang, Antai

AU - Zhang, Yilong

AU - Shao, Yongzhao

PY - 2017/12

Y1 - 2017/12

N2 - The EM algorithm has been used for inference of the mixture cure models. However, the complete-data and incomplete-data specifications have never been postulated appropriately in literature. The goal of this paper is to fill in this gap by deriving proper specifications.

AB - The EM algorithm has been used for inference of the mixture cure models. However, the complete-data and incomplete-data specifications have never been postulated appropriately in literature. The goal of this paper is to fill in this gap by deriving proper specifications.

KW - Complete-data likelihood

KW - EM algorithm

KW - Mixture cure model

KW - Survival transformation models

UR - https://www.scopus.com/pages/publications/85030850037

UR - https://www.scopus.com/inward/citedby.url?scp=85030850037&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2017.08.006

DO - 10.1016/j.spl.2017.08.006

M3 - Article

AN - SCOPUS:85030850037

SN - 0167-7152

VL - 131

SP - 51

EP - 55

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

ER -

On the likelihood of mixture cure models

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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