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Double inverse-weighted estimation of cumulative treatment effects under non-proportional hazards and dependent censoring
In medical studies of time to event data, non-proportional hazards and dependent censoring are very common issues when estimating the treatment effect. A traditional method for dealing with time-dependent treatment effects is to model the time-dependence parametrically. Limitations of this approach...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2011
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3372067/ https://ncbi.nlm.nih.gov/pubmed/20560935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01449.x |
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