Rejoinder: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

TL;DR

This paper discusses and compares different strategies for estimating a population mean from incomplete data, clarifying the concept of double robustness and evaluating its effectiveness.

Contribution

It provides a detailed comparison of alternative methods for population mean estimation under data incompleteness, enhancing understanding of double robustness.

Findings

Double robust methods can provide consistent estimates if either the model for the outcome or the model for the missing data mechanism is correct.

Comparison reveals strengths and weaknesses of various strategies in different data scenarios.

Clarifies misconceptions about the robustness and applicability of double robust estimators.

Abstract

Rejoinder to ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]