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A fast Monte Carlo EM algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with AGC

In this article we use a latent class model (LCM) with prevalence modeled as a function of covariates to assess diagnostic test accuracy in situations where the true disease status is not observed, but observations on three or more conditionally independent diagnostic tests are available. A fast Mon...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Kang, Le, Carter, Randy, Darcy, Kathleen, Kauderer, James, Liao, Shu-Yuan
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2013
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC3806648/
https://ncbi.nlm.nih.gov/pubmed/24163493
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2013.825704
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