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Dataset Information

Bias due to sample selection in propensity score matching for a supportive housing program evaluation in New York City.


ABSTRACT:

Objectives

Little is known about influences of sample selection on estimation in propensity score matching. The purpose of the study was to assess potential selection bias using one-to-one greedy matching versus optimal full matching as part of an evaluation of supportive housing in New York City (NYC).

Study design and settings

Data came from administrative data for 2 groups of applicants who were eligible for an NYC supportive housing program in 2007-09, including chronically homeless adults with a substance use disorder and young adults aging out of foster care. We evaluated the 2 matching methods in their ability to balance covariates and represent the original population, and in how those methods affected outcomes related to Medicaid expenditures.

Results

In the

SUBMITTER: Lim S 

PROVIDER: S-EPMC4195658 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature