Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples

An observational block design has I blocks matched for covariates and J individuals per block, but treatments were not randomly assigned to individuals within blocks, as would have been done in an experiment. Tightening an observational block design means selecting J′

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Publication Details

Journal
The American Statistician
Published
2024-08-21
DOI
https://doi.org/10.1080/00031305.2024.2393630
Citations
2
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
0.98
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article

Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples

Paul R. Rosenbaum
2 citations
The American Statistician
Optimal Experimental Design Methods
0.98
article

Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples

Paul R. Rosenbaum
article en
2 citations

Abstract

An observational block design has I blocks matched for covariates and J individuals per block, but treatments were not randomly assigned to individuals within blocks, as would have been done in an experiment. Tightening an observational block design means selecting J′

The American StatisticianVol. 79(1)
University of Pennsylvania (US)
Openalex Percentile: Top 22%
Optimal Experimental Design Methods
0.98
DOISourceOpenAlex
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Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples — Paul R. Rosenbaum · The American Statistician (2024) | TGRS Research Map | TGRS