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http://hdl.handle.net/10397/87566
Title: | Estimating mann-whitney-type causal effects for right-censored survival outcomes | Authors: | Zhang, Z Liu, C Ma, S Zhang, M |
Issue Date: | 2019 | Source: | Journal of causal inference, Mar. 2019, v. 7, no. 1, 20180010, p. 1-15 | Abstract: | Mann-Whitney-type causal effects are clinically relevant, easy to interpret, and readily applicable to a wide range of study settings. This article considers estimation of such effects when the outcome variable is a survival time subject to right censoring. We derive and discuss several methods: an outcome regression method based on a regression model for the survival outcome, an inverse probability weighting method based on models for treatment assignment and censoring, and two doubly robust methods that involve both types of models and that remain valid under correct specification of the outcome model or the other two models. The methods are compared in a simulation study and applied to an observational study of hospitalized pneumonia. | Keywords: | Coarsening Confounding Double robustness Time to event Treatment comparison |
Publisher: | Walter de Gruyter GmbH | Journal: | Journal of causal inference | ISSN: | 2193-3677 | EISSN: | 2193-3685 | DOI: | 10.1515/jci-2018-0010 | Rights: | © 2019 Walter de Gruyter GmbH, Berlin/Boston. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) The following publication Zhang, Z., Liu, C., Ma, S., & Zhang, M. (2019). Estimating Mann–Whitney-Type Causal Effects for Right-Censored Survival Outcomes, Journal of Causal Inference, 7(1), 20180010 is available at https://dx.doi.org/10.1515/jci-2018-0010 |
Appears in Collections: | Journal/Magazine Article |
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Zhang_Mann–whitney-type_Right-censored_Survival.pdf | 234.04 kB | Adobe PDF | View/Open |
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