Synopsis
Shared frailty models and correlated frailty models based on hazard rate become popular in multivariate survival data. In fact it is necessary to use shared frailty models or correlated frailty models when the population consist of individuals with different risks. Proposed shared frailty models and correlated frailty models are relevant to event time of related individuals, similar organs and repeated measurements. In these models individuals from a group shares common frailty or correlated frailty. In present study, i introduced some new shared frailty models and correlated frailty models in hazard rate and reverse hazard rate set-up. A comparison between all the introduced models is done and the best model is suggested. To judge the performance of the models we consider the simulation study. We apply our suggested models to dierent real life data sets. For our work we restricted ourself to bivariate survival data only. Similar work can be extended to higher dimensional cases
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About the Author
Dr Arvind Pandey has completed his PhD from Savitribai Phule Pune University.He is currently an Assistant Professor and Head of Department of Statistics, in Pachhunga University College, Aizawl, Mizoram, India. Published more than 20 papers in various international journals.
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Modelling Frailty for Bivariate Data
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LAP LAMBERT Academic Publishing Feb 2016, 2016
ISBN 10: 3659813745
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Shared frailty models and correlated frailty models based on hazard rate become popular in multivariate survival data. In fact it is necessary to use shared frailty models or correlated frailty models when the population consist of individuals with different risks. Proposed shared frailty models and correlated frailty models are relevant to event time of related individuals, similar organs and repeated measurements. In these models individuals from a group shares common frailty or correlated frailty. In present study, i introduced some new shared frailty models and correlated frailty models in hazard rate and reverse hazard rate set-up. A comparison between all the introduced models is done and the best model is suggested. To judge the performance of the models we consider the simulation study. We apply our suggested models to dierent real life data sets. For our work we restricted ourself to bivariate survival data only. Similar work can be extended to higher dimensional cases 184 pp. Englisch. Seller Inventory # 9783659813740
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Modelling Frailty for Bivariate Data
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pandey ArvindDr Arvind Pandey has completed his PhD from Savitribai Phule Pune University.He is currently an Assistant Professor and Head of Department of Statistics, in Pachhunga University College, Aizawl, Mizoram, India. Published. Seller Inventory # 158605733
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Modelling Frailty for Bivariate Data | A bayesian approach to data analysis
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Taschenbuch. Condition: Neu. Modelling Frailty for Bivariate Data | A bayesian approach to data analysis | Arvind Pandey | Taschenbuch | 184 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659813740 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 103912987
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Modelling Frailty for Bivariate Data
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LAP LAMBERT Academic Publishing Feb 2016, 2016
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Shared frailty models and correlated frailty models based on hazard rate become popular in multivariate survival data. In fact it is necessary to use shared frailty models or correlated frailty models when the population consist of individuals with different risks. Proposed shared frailty models and correlated frailty models are relevant to event time of related individuals, similar organs and repeated measurements. In these models individuals from a group shares common frailty or correlated frailty. In present study, i introduced some new shared frailty models and correlated frailty models in hazard rate and reverse hazard rate set-up. A comparison between all the introduced models is done and the best model is suggested. To judge the performance of the models we consider the simulation study. We apply our suggested models to dierent real life data sets. For our work we restricted ourself to bivariate survival data only. Similar work can be extended to higher dimensional casesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Seller Inventory # 9783659813740
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Modelling Frailty for Bivariate Data : A bayesian approach to data analysis
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659813745
ISBN 13: 9783659813740
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Shared frailty models and correlated frailty models based on hazard rate become popular in multivariate survival data. In fact it is necessary to use shared frailty models or correlated frailty models when the population consist of individuals with different risks. Proposed shared frailty models and correlated frailty models are relevant to event time of related individuals, similar organs and repeated measurements. In these models individuals from a group shares common frailty or correlated frailty. In present study, i introduced some new shared frailty models and correlated frailty models in hazard rate and reverse hazard rate set-up. A comparison between all the introduced models is done and the best model is suggested. To judge the performance of the models we consider the simulation study. We apply our suggested models to dierent real life data sets. For our work we restricted ourself to bivariate survival data only. Similar work can be extended to higher dimensional cases. Seller Inventory # 9783659813740