The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
Open accessAbstract
Considerable recent interest has focused on doubly robust estimators for a population mean response in the presence of incomplete data, which involve models for both the propensity score and the regression of outcome on covariates. The usual doubly robust estimator may yield severely biased inferences if neither of these models is correctly specified and can exhibit nonnegligible bias if the estimated propensity score is close to zero for some observations. We propose alternative doubly robust estimators that achieve comparable or improved performance relative to existing methods, even with some estimated propensity scores close to zero.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Marginal Structural Models and Causal Inference in Epidemiology
Robins, J. M., Hernán, M. Á., & Brumback, B. (2000) · Epidemiology · doi:10.1097/00001648-200009000-00011 · Cited by 5,581
Cited by
Tchetgen Tchetgen, E. J., & Shpitser, I. (2012) · The Annals of Statistics · doi:10.1214/12-aos990 · Cited by 280
Inverse probability tilting for moment condition models with missing data
Graham, B. S., De Xavier Pinto, C. C., & Egel, D. (2012) · The Review of Economic Studies · doi:10.1093/restud/rdr047 · Cited by 174
On model selection and model misspecification in causal inference.
Vansteelandt, S., Bekaert, M., & Claeskens, G. (2012) · Statistical Methods in Medical Research · doi:10.1177/0962280210387717 · Cited by 172
Bias-reduced doubly robust estimation
Vermeulen, K., & Vansteelandt, S. (2015) · Journal of the American Statistical Association · doi:10.1080/01621459.2014.958155 · Cited by 130
A general double robustness result for estimating average treatment effects
Słoczyński, T., & Wooldridge, J. M. (2018) · Econometric Theory · doi:10.1017/s0266466617000056 · Cited by 122
Metadata
- Authors
- Cao, W., Tsiatis, A. A., & Davidian, M.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-08-07
- Volume
- 96
- Issue
- 3
- Pages
- 723-734
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2062947384
- Cited by
- 302
- References
- 2
- FWCI
- 11.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. https://app.cochat.ai/papers/10.1093/biomet/asp033
- The paper
- Cao, W., Tsiatis, A. A., & Davidian, M. (2009). Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data. Biometrika. https://doi.org/10.1093/biomet/asp033
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
