Multivariate Censored Data
Mostrando 1-3 de 3 artigos, teses e dissertações.
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1. Parallel determination of NeuroD1, Chromogranin-A, KI67 and androgen receptor expression in surgically treated prostate cancers
PURPOSE: Neuroendocrine differentiation is a hallmark of prostate cancer. The aim of our study was the detection of the parallel expression of neuroendocrine related markers using a prostate tissue microarray (TMA). MATERIALS AND METHODS: Our study was aimed at detecting the parallel expression of NeuroD1, Chromogranin-A (ChrA), Androgen Receptor (AR) and Ki
International braz j urol. Publicado em: 2011-02
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2. Dados de sobrevivência multivariados na presença de covariáveis e observações censuradas: uma abordagem bayesiana
In this work, we introduce a Bayesian Analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different frailtiesor latent variables are considered to capture the correlation among the survival times for the same individual. We also introduce a Bayesian analysis for some of the most popular bivariate exponenti
Publicado em: 2010
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3. UM ALGORITMO - EM - PARA IMPUTAÇÃO MÚLTIPLA DE DADOS CENSURADOS / MULTIPLE IMPUTATION IN MULTIVARIATE NORMAL DATA VIA A EM TYPE ALGORITHM
An EM algorithm was developed to parameter estimation of a multivariate truncate normal distribution. The multiple imputation is evaluated by the conditional expectation becoming the estimated values greater or lower than the observed value. The information matrix gives the confident interval to the parameter and values estimations. The proposed algorithm wa
Publicado em: 2002