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Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard
Observational epidemiological studies often confront the problem of estimating exposure-disease relationships when the exposure is not measured exactly. Regression calibration (RC) is a common approach to correct for bias in regression analysis with covariate measurement error. In survival analysis...
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| Vydáno v: | Biometrics |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7746575/ https://ncbi.nlm.nih.gov/pubmed/32557567 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13318 |
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