Linear transformation models for survival analysis with tumor growth information in cancer screening study

The complication in analyzing tumor data is that the tumors detected in a screening program tend to be slowly progressive tumors, which is the so-called left-truncated sampling that is inherent in screening studies. Under the assumption that all subjects have the same tumor growth function, Ghosh (...

Full description

Saved in:
Bibliographic Details
Published inCommunications in statistics. Theory and methods Vol. 46; no. 4; pp. 1916 - 1926
Main Author Shen, Pao-Sheng
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 16.02.2017
Taylor & Francis Ltd
Subjects
Cancer
Cancer screening studies
Left-truncated
Linear transformations
Mammography
Mathematical models
Medical screening
Primary: 62N01
Sampling
Screening
Secondary: 62N02
Semiparametric transformation model
Statistics
Studies
Survival
Survival analysis
Tumors
Online AccessGet full text

Cover

More Information
Summary:The complication in analyzing tumor data is that the tumors detected in a screening program tend to be slowly progressive tumors, which is the so-called left-truncated sampling that is inherent in screening studies. Under the assumption that all subjects have the same tumor growth function, Ghosh ( 2008 ) developed estimation procedures for the Cox proportional hazards model. Shen ( 2011a ) demonstrated that Ghosh ( 2008 )'s approach can be extended to the case when each subject has a specific growth function. In this article, under linear transformation model, we present a general framework to the analysis of data from cancer screening studies. We developed estimation procedures under linear transformation model, which includes Cox's model as a special case. A simulation study is conducted to demonstrate the potential usefulness of the proposed estimators.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2015.1030425