DOI: 10.11606/t.11.2013.tde-26042013-095312
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Modelo de regressão gama-G em análise de sobrevivência 

Abstract: minha sabedoria e base de todas as minhas conquistas. Otousan to okaasan, hontouni arigatou gozaimasu! Ao meu irmão, Fábio Jun Iti Hashimoto, pela amizade, risadas, brigas e tudo mais que um grande e bom irmão pode fazer por uma irmã....

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Cited by 2 publications
(1 citation statement)
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“…The survival curves generated were visually inspected, and the models tested according to the risk proportionality test. As the hypothesis of proportional distribution of mortality risks was rejected for the staging variable (p < 0.05), the regression analyzes were stratified for each tumor staging variable 11 The Schoenfeld residuals test, with a statistical significance level of 0.05, verified the failure rates' proportionality [12][13] . The final model included only statistically significant variables at α=0.05.…”
Section: Discussionmentioning
confidence: 99%
“…The survival curves generated were visually inspected, and the models tested according to the risk proportionality test. As the hypothesis of proportional distribution of mortality risks was rejected for the staging variable (p < 0.05), the regression analyzes were stratified for each tumor staging variable 11 The Schoenfeld residuals test, with a statistical significance level of 0.05, verified the failure rates' proportionality [12][13] . The final model included only statistically significant variables at α=0.05.…”
Section: Discussionmentioning
confidence: 99%