Using Propensity Score Subclassification for Multiple Treatment Doses to Evaluate a National Antidrug Media Campaign
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DOI: 10.3102/10769986030001059
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Cited by:
- Kuchibhotla, Murali, 2013. "Three essays in development economics," ISU General Staff Papers 201301010800004461, Iowa State University, Department of Economics.
- Lenis, David & Ackerman, Benjamin & Stuart, Elizabeth A., 2018. "Measuring model misspecification: Application to propensity score methods with complex survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 48-57.
- Anna Maria Koukal, 2017. "How Vatican II influenced female enfranchisement: A story of rapid cultural change," CREMA Working Paper Series 2017-07, Center for Research in Economics, Management and the Arts (CREMA).
- Shu Yang & Guido W. Imbens & Zhanglin Cui & Douglas E. Faries & Zbigniew Kadziola, 2016.
"Propensity score matching and subclassification in observational studies with multi‐level treatments,"
Biometrics, The International Biometric Society, vol. 72(4), pages 1055-1065, December.
- Yang, Shu & Imbens, Guido W. & Cui, Zhanglin & Faries, Douglas E. & Kadziola, Zbigniew, 2015. "Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments," Research Papers 3381, Stanford University, Graduate School of Business.
- Rüdiger Mutz & Hans-Dieter Daniel, 2012. "The generalized propensity score methodology for estimating unbiased journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 377-390, August.
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Keywords
complex survey; McCullagh’s ordinal logit model; observational study; propensity score; subclassification; survey weights;All these keywords.
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