Reducing Bias in Cancer Research: Application of Propensity Score Matching

In cancer observational studies, differences between groups on confounding variables may have a significant effect on results when examining health outcomes. This study demonstrates the utility of propensity score matching to balance a non-cancer and cancer cohort of older adults on multiple relevan...

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Main Authors:	Reeve, Bryce B., Smith, Ashley Wilder, Arora, Neeraj K., Hays, Ron D.
Format:	Online
Language:	English
Published:	CENTERS for MEDICARE & MEDICAID SERVICES 2008
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195028/

id	pubmed-4195028
recordtype	oai_dc
spelling	pubmed-41950282014-11-04 Reducing Bias in Cancer Research: Application of Propensity Score Matching Reeve, Bryce B. Smith, Ashley Wilder Arora, Neeraj K. Hays, Ron D. Quality of Life of Cancer Patients In cancer observational studies, differences between groups on confounding variables may have a significant effect on results when examining health outcomes. This study demonstrates the utility of propensity score matching to balance a non-cancer and cancer cohort of older adults on multiple relevant covariates. This approach matches cases to controls on a single indicator, the propensity score, rather than multiple variables. Results indicated that propensity score matching is an efficient and useful way to create a matched case-control study out of a large cohort study, and allows confidence in the strength of the observed outcomes of the study. CENTERS for MEDICARE & MEDICAID SERVICES 2008 /pmc/articles/PMC4195028/ /pubmed/18773615 Text en
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Reeve, Bryce B. Smith, Ashley Wilder Arora, Neeraj K. Hays, Ron D.
spellingShingle	Reeve, Bryce B. Smith, Ashley Wilder Arora, Neeraj K. Hays, Ron D. Reducing Bias in Cancer Research: Application of Propensity Score Matching
author_facet	Reeve, Bryce B. Smith, Ashley Wilder Arora, Neeraj K. Hays, Ron D.
author_sort	Reeve, Bryce B.
title	Reducing Bias in Cancer Research: Application of Propensity Score Matching
title_short	Reducing Bias in Cancer Research: Application of Propensity Score Matching
title_full	Reducing Bias in Cancer Research: Application of Propensity Score Matching
title_fullStr	Reducing Bias in Cancer Research: Application of Propensity Score Matching
title_full_unstemmed	Reducing Bias in Cancer Research: Application of Propensity Score Matching
title_sort	reducing bias in cancer research: application of propensity score matching
description	In cancer observational studies, differences between groups on confounding variables may have a significant effect on results when examining health outcomes. This study demonstrates the utility of propensity score matching to balance a non-cancer and cancer cohort of older adults on multiple relevant covariates. This approach matches cases to controls on a single indicator, the propensity score, rather than multiple variables. Results indicated that propensity score matching is an efficient and useful way to create a matched case-control study out of a large cohort study, and allows confidence in the strength of the observed outcomes of the study.
publisher	CENTERS for MEDICARE & MEDICAID SERVICES
publishDate	2008
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195028/
_version_	1613143997965926400

Reducing Bias in Cancer Research: Application of Propensity Score Matching

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