Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
Greg Ridgeway, Daniel F. McCaffrey
TL;DR
This paper critically examines the concept of double robustness in statistical estimation, comparing various strategies for estimating population means from incomplete data to clarify their assumptions and effectiveness.
Contribution
It provides a detailed comparison of alternative double robust estimation methods, clarifying their theoretical properties and practical implications.
Findings
Double robust methods offer protection against model misspecification.
Certain strategies outperform others under specific data conditions.
Clarifies misconceptions about the robustness and limitations of these methods.
Abstract
Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]
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