The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Propensity Score Matching with Time‐Dependent Covariates
Abstract
SummaryIn observational studies with a time‐dependent treatment and time‐dependent covariates, it is desirable to balance the distribution of the covariates at every time point. A time‐dependent propensity score based on the Cox proportional hazards model is proposed and used in risk set matching. Matching on this propensity score is shown to achieve a balanced distribution of the covariates in both treated and control groups. Optimal matching with various designs is conducted and compared in a study of a surgical treatment, cystoscopy and hydrodistention, given in response to a chronic bladder disease, interstitial cystitis. Simulation studies also suggest that the statistical analysis after matching outperforms the analysis without matching in terms of both point and interval estimations.
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Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Combinatorial Optimization: Algorithms and Complexity.
Johnson, D. S., Papadimitriou, C. H., & Steiglitz, K. (1984) · The American Mathematical Monthly · doi:10.2307/2322374 · Cited by 5,942
Combinatorial optimization:Algorithms and complexity
Rabiner, L. (1984) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1984.1164450 · Cited by 3,576
Diggle, P. J., Heagerty, P. J., Liang, K.-Y., & Zeger, S. L. (2002) · doi:10.1093/oso/9780198524847.001.0001 · Cited by 3,384
Chi-Square Tests with One Degree of Freedom; Extensions of the Mantel-Haenszel Procedure
Mantel, N. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500879 · Cited by 2,897
Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs
Dehejia, R. H., & Wahba, S. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10473858 · Cited by 2,395
Rosenbaum, P. R. (2002) · Springer Series in Statistics · doi:10.1007/978-1-4757-3692-2 · Cited by 2,394
Cited by
Financial Insolvency as a Risk Factor for Early Mortality Among Patients With Cancer
Ramsey, S. D., Bansal, A., Fedorenko, C. R., Blough, D. K., Overstreet, K. A., Shankaran, V., & Newcomb, P. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.64.6620 · Cited by 912
Bariatric Surgery and Long-term Durability of Weight Loss
Maciejewski, M. L., Arterburn, D. E., Van Scoyoc, L., Smith, V. A., Yancy, W. S., Weidenbacher, H. J., Livingston, E. H., & Olsen, M. K. (2016) · JAMA Surgery · doi:10.1001/jamasurg.2016.2317 · Cited by 720
Association Between Bariatric Surgery and Long-term Survival
Arterburn, D. E., Olsen, M. K., Smith, V. A., Livingston, E. H., Van Scoyoc, L., Yancy, W. S., Eid, G., Weidenbacher, H., & Maciejewski, M. L. (2015) · JAMA · doi:10.1001/jama.2014.16968 · Cited by 479
Suissa, S., Moodie, E. E. M., & Dell'Aniello, S. (2017) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.4107 · Cited by 239
Bannay, A., Hoen, B., Duval, X., Obadia, J.-F., Selton-Suty, C., Le Moing, V., Tattevin, P., Iung, B., Delahaye, F., Alla, F., et al. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehp008 · Cited by 182
Metadata
- Authors
- Lu, B.
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-08-31
- Volume
- 61
- Issue
- 3
- Pages
- 721-728
- ISSN
- 0006-341X (ISSN-L)
- 1541-0420
- OpenAlex
- W1963628844
- Cited by
- 253
- References
- 25
- FWCI
- 1.87
- Type
- journal article
- Language
- en
- Open access
- closed
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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.