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A Semiparametric Missing-Data-Induced Intensity Method for Missing Covariate Data in Individually Matched Case–Control Studies

In individually matched case–control studies, when some covariates are incomplete, an analysis based on the complete data may result in a large loss of information both in the missing and completely observed variables. This usually results in a bias and loss of efficiency. In this article, we propos...

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Autori principali: Gebregziabher, Mulugeta, Langholz, Bryan
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2010
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2910202/
https://ncbi.nlm.nih.gov/pubmed/19751251
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01322.x
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