Propensity Score Analysis with Survey Weighted Data
Propensity score analysis (PSA) is a common method for estimating treatment effects, but researchers dealing with data from survey designs are generally not properly accounting for the sampling weights in their analyses. Moreover, recommendations given in the few existing methodological articles on...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2015-09-01
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| Series: | Journal of Causal Inference |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jci-2014-0039 |
| _version_ | 1819120776076328960 |
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| author | Ridgeway Greg Kovalchik Stephanie Ann Griffin Beth Ann Kabeto Mohammed U. |
| author_facet | Ridgeway Greg Kovalchik Stephanie Ann Griffin Beth Ann Kabeto Mohammed U. |
| author_sort | Ridgeway Greg |
| collection | DOAJ |
| description | Propensity score analysis (PSA) is a common method for estimating treatment effects, but researchers dealing with data from survey designs are generally not properly accounting for the sampling weights in their analyses. Moreover, recommendations given in the few existing methodological articles on this subject are susceptible to bias. We show in this article through derivation, simulation, and a real data example that using sampling weights in the propensity score estimation stage and the outcome model stage results in an estimator that is robust to a variety of conditions that lead to bias for estimators currently recommended in the statistical literature. We highly recommend researchers use the more robust approach described here. This article provides much needed rigorous statistical guidance for researchers working with survey designs involving sampling weights and using PSAs. |
| first_indexed | 2024-12-22T06:26:02Z |
| format | Article |
| id | doaj.art-d3eaa16c979e4dab85db08adb85ae765 |
| institution | Directory Open Access Journal |
| issn | 2193-3677 2193-3685 |
| language | English |
| last_indexed | 2024-12-22T06:26:02Z |
| publishDate | 2015-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of Causal Inference |
| spelling | doaj.art-d3eaa16c979e4dab85db08adb85ae7652022-12-21T18:35:51ZengDe GruyterJournal of Causal Inference2193-36772193-36852015-09-013223724910.1515/jci-2014-0039Propensity Score Analysis with Survey Weighted DataRidgeway Greg0Kovalchik Stephanie Ann1Griffin Beth Ann2Kabeto Mohammed U.3Department of Criminology, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA 19104-6286, USARAND Corporation, Santa Monica, CA, USARAND Corporation, Santa Monica, CA, USADepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USAPropensity score analysis (PSA) is a common method for estimating treatment effects, but researchers dealing with data from survey designs are generally not properly accounting for the sampling weights in their analyses. Moreover, recommendations given in the few existing methodological articles on this subject are susceptible to bias. We show in this article through derivation, simulation, and a real data example that using sampling weights in the propensity score estimation stage and the outcome model stage results in an estimator that is robust to a variety of conditions that lead to bias for estimators currently recommended in the statistical literature. We highly recommend researchers use the more robust approach described here. This article provides much needed rigorous statistical guidance for researchers working with survey designs involving sampling weights and using PSAs.https://doi.org/10.1515/jci-2014-0039propensity scoresampling weightssurvey weights |
| spellingShingle | Ridgeway Greg Kovalchik Stephanie Ann Griffin Beth Ann Kabeto Mohammed U. Propensity Score Analysis with Survey Weighted Data Journal of Causal Inference propensity score sampling weights survey weights |
| title | Propensity Score Analysis with Survey Weighted Data |
| title_full | Propensity Score Analysis with Survey Weighted Data |
| title_fullStr | Propensity Score Analysis with Survey Weighted Data |
| title_full_unstemmed | Propensity Score Analysis with Survey Weighted Data |
| title_short | Propensity Score Analysis with Survey Weighted Data |
| title_sort | propensity score analysis with survey weighted data |
| topic | propensity score sampling weights survey weights |
| url | https://doi.org/10.1515/jci-2014-0039 |
| work_keys_str_mv | AT ridgewaygreg propensityscoreanalysiswithsurveyweighteddata AT kovalchikstephanieann propensityscoreanalysiswithsurveyweighteddata AT griffinbethann propensityscoreanalysiswithsurveyweighteddata AT kabetomohammedu propensityscoreanalysiswithsurveyweighteddata |