The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable
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Comment on ``Performance of Double-Robust Estimators When ``Inverse Probability'' Weights Are Highly Variable'' [arXiv:0804.2958]
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Cites
Rosenbaum, P. R. (2002) · Springer Series in Statistics · doi:10.1007/978-1-4757-3692-2 · Cited by 2,394
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Self-citationAnalysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
Robins, J. M., Rotnitzky, A., & Zhao, L. P. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476493 · Cited by 1,595
Self-citationUnified Methods for Censored Longitudinal Data and Causality
van der Laan, M. J., & Robins, J. M. (2003) · Springer Series in Statistics · doi:10.1007/978-0-387-21700-0 · Cited by 959
Self-citationTargeted Maximum Likelihood Learning
van der Laan, M. J., & Rubin, D. (2006) · The International Journal of Biostatistics · doi:10.2202/1557-4679.1043 · Cited by 823
Inference for imputation estimators
Robins, J. (2000) · Biometrika · doi:10.1093/biomet/87.1.113 · Cited by 276
Self-citationA Distributional Approach for Causal Inference Using Propensity Scores
Tan, Z. (2006) · Journal of the American Statistical Association · doi:10.1198/016214506000000023 · Cited by 232
Statistical Inference for Variable Importance
van der Laan, M. J. (2006) · The International Journal of Biostatistics · doi:10.2202/1557-4679.1008 · Cited by 165
Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
Scharfstein, D. O., Rotnitzky, A. G., & Robins, J. M. (1999) · Journal of the American Statistical Association · doi:10.2307/2669923 · Cited by 139
Self-citationINFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER
Bickel, P. J., & Kwon, J. (2001) · Cited by 125
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Covariate Balancing Propensity Score
Imai, K., & Ratkovic, M. (2014) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12027 · Cited by 1,315
Doubly robust estimation of causal effects
Funk, M. J., Westreich, D., Wiesen, C., Stürmer, T., Brookhart, M. A., & Davidian, M. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwq439 · Cited by 1,158
Yao, L., Chu, Z., Li, S., Li, Y., Gao, J., & Zhang, A. (2021) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3444944 · Cited by 478
New evidence on the finite sample properties of propensity score reweighting and matching estimators
Busso, M., DiNardo, J., & McCrary, J. (2014) · Review of Economics and Statistics · doi:10.1162/rest_a_00431 · Cited by 428
An Introduction to the Augmented Inverse Propensity Weighted Estimator
Glynn, A. N., & Quinn, K. M. (2010) · Political Analysis · doi:10.1093/pan/mpp036 · Cited by 374
Metadata
- Authors
- Robins, J., Sued, M., Lei-Gomez, Q., & Rotnitzky, A.
- Venue
- Statistical Science
- Publisher
- Institute of Mathematical Statistics
- Published
- 2007-11-01
- Volume
- 22
- Issue
- 4
- Pages
- 544-559
- ISSN
- 0883-4237 (ISSN-L)
- OpenAlex
- W2058499415
- Cited by
- 313
- References
- 13
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Robins, J., Sued, M., Lei-Gomez, Q., & Rotnitzky, A. (2007). Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable. Statistical Science. https://doi.org/10.1214/07-sts227d
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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