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Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives an Essential Journey with Donald Rubin S Statistical Family

A Comparison of Experimental and Observational Data Analyses

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Hill, JL; Reiter, JP; Zanutto, EL
July 14, 2005

Duke Scholars

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Publication Date

July 14, 2005

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49 / 60
 

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Hill, J. L., Reiter, J. P., & Zanutto, E. L. (2005). A Comparison of Experimental and Observational Data Analyses. In Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives an Essential Journey with Donald Rubin S Statistical Family (pp. 49–60). https://doi.org/10.1002/0470090456.ch5
Hill, J. L., J. P. Reiter, and E. L. Zanutto. “A Comparison of Experimental and Observational Data Analyses.” In Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives an Essential Journey with Donald Rubin S Statistical Family, 49–60, 2005. https://doi.org/10.1002/0470090456.ch5.
Hill JL, Reiter JP, Zanutto EL. A Comparison of Experimental and Observational Data Analyses. In: Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives an Essential Journey with Donald Rubin S Statistical Family. 2005. p. 49–60.
Hill, J. L., et al. “A Comparison of Experimental and Observational Data Analyses.” Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives an Essential Journey with Donald Rubin S Statistical Family, 2005, pp. 49–60. Scopus, doi:10.1002/0470090456.ch5.
Hill JL, Reiter JP, Zanutto EL. A Comparison of Experimental and Observational Data Analyses. Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives an Essential Journey with Donald Rubin S Statistical Family. 2005. p. 49–60.

DOI

Publication Date

July 14, 2005

Start / End Page

49 / 60