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Determination of the optimal number ...

Akers, Allen.

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Determination of the optimal number of strata for bias reduction in propensity score matching.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Determination of the optimal number of strata for bias reduction in propensity score matching./
作者:	Akers, Allen.
面頁冊數:	57 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-08, Section: A, page: 2859.
Contained By:	Dissertation Abstracts International71-08A.
標題:	Education, Tests and Measurements. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3417726
ISBN:	9781124153810

Determination of the optimal number of strata for bias reduction in propensity score matching.
Akers, Allen.

Determination of the optimal number of strata for bias reduction in propensity score matching. - 57 p.

Source: Dissertation Abstracts International, Volume: 71-08, Section: A, page: 2859.

Thesis (Ph.D.)--University of North Texas, 2010.

Previous research implementing stratification on the propensity score has generally relied on using five strata, based on prior theoretical groundwork and minimal empirical evidence as to the suitability of quintiles to adequately reduce bias in all cases and across all sample sizes. This study investigates bias reduction across varying number of strata and sample sizes via a large-scale simulation to determine the adequacy of quintiles for bias reduction under all conditions. Sample sizes ranged from 100 to 50,000 and strata from 3 to 20. Both the percentage of bias reduction and the standardized selection bias were examined. The results show that while the particular covariates in the simulation met certain criteria with five strata that greater bias reduction could be achieved by increasing the number of strata, especially with larger sample sizes. Simulation code written in R is included.

ISBN: 9781124153810Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

Determination of the optimal number of strata for bias reduction in propensity score matching.
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245 1 0 $a Determination of the optimal number of strata for bias reduction in propensity score matching.
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500 $a Adviser: Darrell M. Hull.
502 $a Thesis (Ph.D.)--University of North Texas, 2010.
520 $a Previous research implementing stratification on the propensity score has generally relied on using five strata, based on prior theoretical groundwork and minimal empirical evidence as to the suitability of quintiles to adequately reduce bias in all cases and across all sample sizes. This study investigates bias reduction across varying number of strata and sample sizes via a large-scale simulation to determine the adequacy of quintiles for bias reduction under all conditions. Sample sizes ranged from 100 to 50,000 and strata from 3 to 20. Both the percentage of bias reduction and the standardized selection bias were examined. The results show that while the particular covariates in the simulation met certain criteria with five strata that greater bias reduction could be achieved by increasing the number of strata, especially with larger sample sizes. Simulation code written in R is included.
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