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Analyzing a randomized experiment with imperfect compliance and ignorable conditions for missing data: theoretical and computational issues

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  • Mercatanti, Andrea

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  • Mercatanti, Andrea, 2004. "Analyzing a randomized experiment with imperfect compliance and ignorable conditions for missing data: theoretical and computational issues," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 493-509, June.
    • Handle: RePEc:eee:csdana:v:46:y:2004:i:3:p:493-509
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    References listed on IDEAS

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    1. Yau L.H.Y. & Little R.J., 2001. "Inference for the Complier-Average Causal Effect From Longitudinal Data Subject to Noncompliance and Missing Data, With Application to a Job Training Assessment for the Unemployed," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1232-1244, December.
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