Impact of Non-Informative Censoring on Propensity Score Based Estimation of Marginal Hazard Ratios
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913234414469120 |
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| author | Barros, Guilherme W. F. Häggström, Jenny |
| author_facet | Barros, Guilherme W. F. Häggström, Jenny |
| contents | In medical and epidemiological studies, one of the most common settings is studying the effect of a treatment on a time-to-event outcome, where the time-to-event might be censored before end of study. A common parameter of interest in such a setting is the marginal hazard ratio (MHR). When a study is based on observational data, propensity score (PS) based methods are often used, in an attempt to make the treatment groups comparable despite having a non-randomized treatment. Previous studies have shown censoring to be a factor that induces bias when using PS based estimators. In this paper we study the magnitude of the bias under different rates of non-informative censoring when estimating MHR using PS weighting or PS matching. A bias correction involving the probability of event is suggested and compared to conventional PS based methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_09086 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Impact of Non-Informative Censoring on Propensity Score Based Estimation of Marginal Hazard Ratios Barros, Guilherme W. F. Häggström, Jenny Methodology In medical and epidemiological studies, one of the most common settings is studying the effect of a treatment on a time-to-event outcome, where the time-to-event might be censored before end of study. A common parameter of interest in such a setting is the marginal hazard ratio (MHR). When a study is based on observational data, propensity score (PS) based methods are often used, in an attempt to make the treatment groups comparable despite having a non-randomized treatment. Previous studies have shown censoring to be a factor that induces bias when using PS based estimators. In this paper we study the magnitude of the bias under different rates of non-informative censoring when estimating MHR using PS weighting or PS matching. A bias correction involving the probability of event is suggested and compared to conventional PS based methods. |
| title | Impact of Non-Informative Censoring on Propensity Score Based Estimation of Marginal Hazard Ratios |
| topic | Methodology |
| url | https://arxiv.org/abs/2402.09086 |