Causal inferences with group based trajectory models
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DOI: 10.1007/s11336-004-1261-y
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Cited by:
- Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
- Kosuke Imai & Gary King & Elizabeth A. Stuart, 2008. "Misunderstandings between experimentalists and observationalists about causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 481-502, April.
- Kevin B. Hendricks & Manpreet Hora & Vinod R. Singhal, 2015. "An Empirical Investigation on the Appointments of Supply Chain and Operations Management Executives," Management Science, INFORMS, vol. 61(7), pages 1562-1583, July.
- Gorkem Turgut Ozer & Brad N. Greenwood & Anandasivam Gopal, 2023. "Digital Multisided Platforms and Women’s Health: An Empirical Analysis of Peer-to-Peer Lending and Abortion Rates," Information Systems Research, INFORMS, vol. 34(1), pages 223-252, March.
- Bobby L. Jones & Daniel S. Nagin, 2007. "Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them," Sociological Methods & Research, , vol. 35(4), pages 542-571, May.
- Anandasivam Gopal & Manu Goyal & Serguei Netessine & Matthew Reindorp, 2013. "The Impact of New Product Introduction on Plant Productivity in the North American Automotive Industry," Management Science, INFORMS, vol. 59(10), pages 2217-2236, October.
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Keywords
Causal inference; finite mixture models; propensity scores;All these keywords.
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