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Cobre, Juliana
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ResearcherID: E-8460-2011
URL: http://www.researcherid.com/rid/E-8460-2011
Subject: Statistics & Probability
Keywords: survival analysis; clinical trials; bayesian inference; network analysis
ORCID: http://orcid.org/0000-0002-3250-337X
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My URLs: http://jucobre.com
 
 

This list contains papers that I have authored.

publication(s)  
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1.  Title: A multiple time scale survival model with a cure fraction
 Author(s): Louzada, Francisco; Cobre, Juliana
 Source: Test Volume: 21 Issue: 2 Pages: 355-368 Published: JUN 2012
 Times Cited: 4
 DOI: 10.1007/s11749-011-0247-1
added
25-May-17
2.  Title: A mechanistic breast cancer survival modelling through the axillary lymph node chain
 Author(s): Cobre, Juliana; Castro Perdona, Gleici S.; Peria, Fernanda M.; et al.
 Source: Statistics in Medicine Volume: 32 Issue: 9 Pages: 1536-1546 Published: APR 30 2013
 Times Cited: 3
 DOI: 10.1002/sim.5576
added
25-May-17
3.  Title: A predictive Bayes factor approach to identify genes differentially expressed: An application to Escherichia coli bacterium data
 Author(s): Louzada, Francisco; Saraiva, Erlandson F.; Milan, Luis; et al.
 Source: Brazilian Journal of Probability and Statistics Volume: 28 Issue: 2 Pages: 167-189 Published: MAY 2014
 Times Cited: 1
 DOI: 10.1214/12-BJPS200
added
25-May-17
4.  Title: A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes
 Author(s): Oliveira, Sandra Cristina; Cobre, Juliana; Ferreira, Taiane de Paula
 Source: Social Networks Volume: 48 Pages: 110-115 Published: JAN 2017
 Times Cited: 0
 DOI: 10.1016/j.socnet.2016.06.005
added
25-May-17
5.  Title: Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction
 Author(s): Gupta, Cherry; Cobre, Juliana; Polpo, Adriano; et al.
 Source: Biometrical Journal Volume: 58 Issue: 5 Pages: 1164-1177 Published: SEP 2016
 Times Cited: 0
 DOI: 10.1002/bimj.201500111
added
25-May-17
6.  Title: A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels: An Application to Escherichia coli Bacterium Data
 Author(s): Saraiva, Erlandson F.; Louzada, Francisco; Milan, Luis A.; et al.
 Source: Computational and Mathematical Methods in Medicine Published: 2012
 Times Cited: 0
 DOI: 10.1155/2012/953086
added
25-May-17
publication(s)  
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