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. 2011 Mar;67(1):319-23; discussion 323-5.
doi: 10.1111/j.1541-0420.2010.01451_1.x.

Estimation and inference for the causal effect of receiving treatment on a multinomial outcome: an alternative approach

Stuart G Baker  1
Affiliations

Estimation and inference for the causal effect of receiving treatment on a multinomial outcome: an alternative approach

Stuart G Baker. Biometrics. 2011 Mar.

Abstract

Recently, Cheng (2009, Biometrics 65, 96-103) proposed a model for the causal effect of receiving treatment when there is all-or-none compliance in one randomization group, with maximum likelihood estimation based on convex programming. We discuss an alternative approach that involves a model for all-or-none compliance in two randomization groups and estimation via a perfect fit or an expectation-maximization algorithm for count data. We believe this approach is easier to implement, which would facilitate the reproduction of calculations.

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