Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable

James Robins; Mariela Sued; Quanhong Lei-Gomez; Andrea Rotnitzky

doi:10.1214/07-sts227d

journal article Nov 01, 2007

Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable

James Robins Mariela Sued Quanhong Lei-Gomez Andrea Rotnitzky

Statistical Science Vol. 22 No. 4 · Institute of Mathematical Statistics

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Details

Published: Nov 01, 2007
Vol/Issue: 22(4)

Authors

J

James Robins

Harvard University, 677 Huntington Avenue, Boston, MA 02115, USA

From Harvard School of Public Health; Channing Laboratory; and Harvard Medical School, Boston, Massachusetts.

Cite This Article

James Robins, Mariela Sued, Quanhong Lei-Gomez, et al. (2007). Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable. Statistical Science, 22(4). https://doi.org/10.1214/07-sts227d

Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable

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