Comment: Improved local efficiency and double robustness

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

For missing data and causal inference problems, Rubin and van der Laan (2008) proposed estimators to achieve so-called improved local efficiency. We show that their estimators agree with existing estimators in the case of linear models, point out that one particular version of their estimators is also doubly robust, and suggest an extension for where the propensity score is estimated.

Original languageEnglish (US)
Article number10
JournalInternational Journal of Biostatistics
Volume4
Issue number1
DOIs
StatePublished - Jan 1 2008

Fingerprint

Double Robustness
Estimator
Propensity Score
Causal Inference
Missing Data
Linear Model
Robustness

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Causal inference
  • Double robustness
  • Local efficiency

Cite this

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abstract = "For missing data and causal inference problems, Rubin and van der Laan (2008) proposed estimators to achieve so-called improved local efficiency. We show that their estimators agree with existing estimators in the case of linear models, point out that one particular version of their estimators is also doubly robust, and suggest an extension for where the propensity score is estimated.",
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Comment : Improved local efficiency and double robustness. / Tan, Zhiqiang.

In: International Journal of Biostatistics, Vol. 4, No. 1, 10, 01.01.2008.

Research output: Contribution to journalArticle

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