Uma Abordagem Bayesiana na Análise de Dados Longitudinais Obtidos por Amostragem com Reposição
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Jan 8, 2006
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Abstract
O objetivo deste estudo é mostrar a aplicabilidade de um modelo Bayesiano, proposto para a análise de um conjunto de dados médicos longitudinais com uma estrutura não usual. Um único indivíduo pode vir a participar da pesquisa mais de uma vez e, a cada participação, dados clínicos e laboratoriais podem classificá-lo em um dentre quatro grupos de interesse. Tal experimento foi assim delineado por utilizar uma população restrita (pacientes submetidos a transplante de medula óssea). Observa-se que o modelo proposto mostrou-se uma importante ferramenta para a análise destes dados.
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How to Cite
Aragon, D. C., Lourençon, A. de F., Omai, E., Achcar, J. A., & Martinez, E. Z. (2006). Uma Abordagem Bayesiana na Análise de Dados Longitudinais Obtidos por Amostragem com Reposição. Revista Brasileira Multidisciplinar, 10(2), 11-16. https://doi.org/10.25061/2527-2675/ReBraM/2006.v10i2.243
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• The journal is not responsible for the opinions, ideas and concepts issued in the texts, as they are the sole responsibility of the author (s);
• Publishers have the right to make textual adjustments and to adapt the article to the rules of publication.
Authors retain the copyright and grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License, which allows the sharing of work with acknowledgment of authorship and initial publication in this journal.
Authors are authorized to take additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (eg publish in institutional repository or as book chapter), with acknowledgment of authorship and initial publication in this journal.
Authors are allowed and encouraged to publish and distribute their work online (eg in institutional repositories or on their personal page) at any point before or during the editorial process, as this can generate productive changes as well as increase the impact and citation of the published work (See The Effect of Free Access) at http://opcit.eprints.org/oacitation-biblio.html
