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Sensitivity analysis to investigate the impact of a missing covariate on survival analyses using cancer registry data

Having substantial missing data is a common problem in administrative and cancer registry data. We propose a sensitivity analysis to evaluate the impact of a covariate that is potentially missing not at random in survival analyses using Weibull proportional hazards regressions. We apply the method t...

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Bibliografski detalji
Glavni autori: Egleston, Brian L., Wong, Yu-Ning
Format: Artigo
Jezik:Inglês
Izdano: 2009
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2741403/
https://ncbi.nlm.nih.gov/pubmed/19235263
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3557
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