An alternative method for assessing the equivalence among treatments in survival analysis
This work aims to evaluate the use of parametric models instead of a nonparametric procedure to adjust survival curves related to different treatments, and to verify the equivalence among treatments by the multivariate method of cluster analysis. The dataset used to validate the method was obtained from a laboratory experiment with cutting ants. Eight colonies of cutting ants were used, each one receiving different treatments. The exponential, Weibull, log-normal, and logistic models were adjusted for each treatment, along with the usual Kaplan-Meier adjustment. The logistic model used was the best option for evaluating the survival of the ants. Therefore, this model was adjusted for each treatment. The estimates of the parameters of each adjusted model were clustered using Ward's method of multivariate technique of cluster analysis. Finally, heuristic techniques for choosing the number of clusters were applied in order to define the sets of equivalent treatments. For the dataset used, the proposed method was less laborious and as efficient as the logrank for the comparison of many survival curves.
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Universidade Federal de Santa Maria
2013
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oai:scielo:S0103-847820130009000042013-08-16An alternative method for assessing the equivalence among treatments in survival analysisPeternelli,Luiz AlexandreTomaz,Flávia Sílvia CorrêaBernardes,Diego PaivaSilva,Gilson Fernandes daLacerda,Fabricia Gonçalves logrank test cluster analysis curves comparison This work aims to evaluate the use of parametric models instead of a nonparametric procedure to adjust survival curves related to different treatments, and to verify the equivalence among treatments by the multivariate method of cluster analysis. The dataset used to validate the method was obtained from a laboratory experiment with cutting ants. Eight colonies of cutting ants were used, each one receiving different treatments. The exponential, Weibull, log-normal, and logistic models were adjusted for each treatment, along with the usual Kaplan-Meier adjustment. The logistic model used was the best option for evaluating the survival of the ants. Therefore, this model was adjusted for each treatment. The estimates of the parameters of each adjusted model were clustered using Ward's method of multivariate technique of cluster analysis. Finally, heuristic techniques for choosing the number of clusters were applied in order to define the sets of equivalent treatments. For the dataset used, the proposed method was less laborious and as efficient as the logrank for the comparison of many survival curves.info:eu-repo/semantics/openAccessUniversidade Federal de Santa MariaCiência Rural v.43 n.9 20132013-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782013000900004en10.1590/S0103-84782013000900004 |
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author |
Peternelli,Luiz Alexandre Tomaz,Flávia Sílvia Corrêa Bernardes,Diego Paiva Silva,Gilson Fernandes da Lacerda,Fabricia Gonçalves |
spellingShingle |
Peternelli,Luiz Alexandre Tomaz,Flávia Sílvia Corrêa Bernardes,Diego Paiva Silva,Gilson Fernandes da Lacerda,Fabricia Gonçalves An alternative method for assessing the equivalence among treatments in survival analysis |
author_facet |
Peternelli,Luiz Alexandre Tomaz,Flávia Sílvia Corrêa Bernardes,Diego Paiva Silva,Gilson Fernandes da Lacerda,Fabricia Gonçalves |
author_sort |
Peternelli,Luiz Alexandre |
title |
An alternative method for assessing the equivalence among treatments in survival analysis |
title_short |
An alternative method for assessing the equivalence among treatments in survival analysis |
title_full |
An alternative method for assessing the equivalence among treatments in survival analysis |
title_fullStr |
An alternative method for assessing the equivalence among treatments in survival analysis |
title_full_unstemmed |
An alternative method for assessing the equivalence among treatments in survival analysis |
title_sort |
alternative method for assessing the equivalence among treatments in survival analysis |
description |
This work aims to evaluate the use of parametric models instead of a nonparametric procedure to adjust survival curves related to different treatments, and to verify the equivalence among treatments by the multivariate method of cluster analysis. The dataset used to validate the method was obtained from a laboratory experiment with cutting ants. Eight colonies of cutting ants were used, each one receiving different treatments. The exponential, Weibull, log-normal, and logistic models were adjusted for each treatment, along with the usual Kaplan-Meier adjustment. The logistic model used was the best option for evaluating the survival of the ants. Therefore, this model was adjusted for each treatment. The estimates of the parameters of each adjusted model were clustered using Ward's method of multivariate technique of cluster analysis. Finally, heuristic techniques for choosing the number of clusters were applied in order to define the sets of equivalent treatments. For the dataset used, the proposed method was less laborious and as efficient as the logrank for the comparison of many survival curves. |
publisher |
Universidade Federal de Santa Maria |
publishDate |
2013 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782013000900004 |
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