Inference for the treatment effects in two sample problems with right-censored and length-biased data

Cunjie Lin; Yong Zhou

doi:10.1016/j.spl.2014.03.009

Inference for the treatment effects in two sample problems with right-censored and length-biased data

Cunjie Lin, Yong Zhou

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

10 Scopus citations

Abstract

In the study of comparing treatment effects, the data structures of two samples may be different. In this paper, we develop a unified semiparametric estimating equation approach to estimate various types of treatment effects with right-censored and length-biased data based on a semiparametric two-sample model. The large sample properties of the proposed estimators are derived and numerical studies are conducted to illustrate the proposed methods.

Original language	English
Pages (from-to)	17-24
Number of pages	8
Journal	Statistics and Probability Letters
Volume	90
Issue number	1
DOIs	https://doi.org/10.1016/j.spl.2014.03.009
State	Published - Jul 2014
Externally published	Yes

Keywords

Estimating equation
Length bias
Semiparametric model
Treatment effect

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10.1016/j.spl.2014.03.009

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title = "Inference for the treatment effects in two sample problems with right-censored and length-biased data",

abstract = "In the study of comparing treatment effects, the data structures of two samples may be different. In this paper, we develop a unified semiparametric estimating equation approach to estimate various types of treatment effects with right-censored and length-biased data based on a semiparametric two-sample model. The large sample properties of the proposed estimators are derived and numerical studies are conducted to illustrate the proposed methods.",

keywords = "Estimating equation, Length bias, Semiparametric model, Treatment effect",

author = "Cunjie Lin and Yong Zhou",

year = "2014",

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AU - Lin, Cunjie

AU - Zhou, Yong

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AB - In the study of comparing treatment effects, the data structures of two samples may be different. In this paper, we develop a unified semiparametric estimating equation approach to estimate various types of treatment effects with right-censored and length-biased data based on a semiparametric two-sample model. The large sample properties of the proposed estimators are derived and numerical studies are conducted to illustrate the proposed methods.

KW - Estimating equation

KW - Length bias

KW - Semiparametric model

KW - Treatment effect

UR - https://www.scopus.com/pages/publications/84897562581

U2 - 10.1016/j.spl.2014.03.009

DO - 10.1016/j.spl.2014.03.009

M3 - 文章

AN - SCOPUS:84897562581

SN - 0167-7152

VL - 90

SP - 17

EP - 24

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

IS - 1

ER -

Inference for the treatment effects in two sample problems with right-censored and length-biased data

Abstract

Keywords

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