Propensity Score Method for Partially Matched Omics Studies

被引：4

作者：

Kuan, Pei-Fen ^{[1
]}

机构：

[1] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA

来源：

CANCER INFORMATICS | 2014年 / 13卷

关键词：

microarray; confounders; observational studies; full matching; regression;

D O I：

10.4137/CIN.S16352

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 [肿瘤学];

摘要：

This paper focuses on the problem of partially matched samples in the presence of confounders. We propose using propensity score matching to adjust for confounding factors for the subset of data with incomplete pairs, followed by integrating the P-values computed from the complete and incomplete paired samples, respectively. Several simulations and a case study on DNA methylation are considered to evaluate the operating characteristics of the proposed method.

引用

页码：1 / 10

页数：10

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