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COMPARISSON OF BAYESIAN AND CLASSICAL MODEL: ANALYSIS FOR SURVIVAL OF PATIENTS WITH BREAST CANCER: A CASE STUDY AT TIKUR ANBESSA SPECIALZED HOSPITAL, ETHIOPIA - Couverture souple
Synopsis
Breast cancer, one of the non-communicable diseases, is the most common cancer in women worldwide. The aim of this study was to investigate what factors affect the survival of breast cancer patients and model it using the classical and Bayesian accelerated failure time models. From the results of the analysis, the survival of patients with breast cancer is significantly related to age, family history of the disease, treatment taken, tumor size, disease stage and recurrence of the disease. The log rank results indicate that survival of a patient is not statistically different among groups classified by gender and residence region of the patient. The Bayesian analysis reveals that the survival of patients with breast cancer is significantly related to age, family history, treatment taken, tumor size and recurrence. Under the Bayesian AFT analysis, one more covariate that a patient takes a combination treatment is significant in addition to those identified by the classical model. The Bayesian Weibull AFT model can then be recommended to analyze such data.
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COMPARISSON OF BAYESIAN AND CLASSICAL MODEL
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203201863
ISBN 13 : 9786203201864
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breast cancer, one of the non-communicable diseases, is the most common cancer in women worldwide. The aim of this study was to investigate what factors affect the survival of breast cancer patients and model it using the classical and Bayesian accelerated failure time models. From the results of the analysis, the survival of patients with breast cancer is significantly related to age, family history of the disease, treatment taken, tumor size, disease stage and recurrence of the disease. The log rank results indicate that survival of a patient is not statistically different among groups classified by gender and residence region of the patient. The Bayesian analysis reveals that the survival of patients with breast cancer is significantly related to age, family history, treatment taken, tumor size and recurrence. Under the Bayesian AFT analysis, one more covariate that a patient takes a combination treatment is significant in addition to those identified by the classical model. The Bayesian Weibull AFT model can then be recommended to analyze such data. 104 pp. Englisch. N° de réf. du vendeur 9786203201864
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COMPARISSON OF BAYESIAN AND CLASSICAL MODEL : ANALYSIS FOR SURVIVAL OF PATIENTS WITH BREAST CANCER: A CASE STUDY AT TIKUR ANBESSA SPECIALZED HOSPITAL, ETHIOPIA
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203201863
ISBN 13 : 9786203201864
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer, one of the non-communicable diseases, is the most common cancer in women worldwide. The aim of this study was to investigate what factors affect the survival of breast cancer patients and model it using the classical and Bayesian accelerated failure time models. From the results of the analysis, the survival of patients with breast cancer is significantly related to age, family history of the disease, treatment taken, tumor size, disease stage and recurrence of the disease. The log rank results indicate that survival of a patient is not statistically different among groups classified by gender and residence region of the patient. The Bayesian analysis reveals that the survival of patients with breast cancer is significantly related to age, family history, treatment taken, tumor size and recurrence. Under the Bayesian AFT analysis, one more covariate that a patient takes a combination treatment is significant in addition to those identified by the classical model. The Bayesian Weibull AFT model can then be recommended to analyze such data. N° de réf. du vendeur 9786203201864
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COMPARISSON OF BAYESIAN AND CLASSICAL MODEL
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203201863
ISBN 13 : 9786203201864
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Demeke AsratAsrat Demeke Wondimu, lecturer at Dire Dawa UniversityCollege of Natural and Computational Science.Breast cancer, one of the non-communicable diseases, is the most common cancer in women worldwide. The aim of this stu. N° de réf. du vendeur 452576131
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COMPARISSON OF BAYESIAN AND CLASSICAL MODEL
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203201863
ISBN 13 : 9786203201864
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Breast cancer, one of the non-communicable diseases, is the most common cancer in women worldwide. The aim of this study was to investigate what factors affect the survival of breast cancer patients and model it using the classical and Bayesian accelerated failure time models. From the results of the analysis, the survival of patients with breast cancer is significantly related to age, family history of the disease, treatment taken, tumor size, disease stage and recurrence of the disease. The log rank results indicate that survival of a patient is not statistically different among groups classified by gender and residence region of the patient. The Bayesian analysis reveals that the survival of patients with breast cancer is significantly related to age, family history, treatment taken, tumor size and recurrence. Under the Bayesian AFT analysis, one more covariate that a patient takes a combination treatment is significant in addition to those identified by the classical model. The Bayesian Weibull AFT model can then be recommended to analyze such data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. N° de réf. du vendeur 9786203201864
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COMPARISSON OF BAYESIAN AND CLASSICAL MODEL | ANALYSIS FOR SURVIVAL OF PATIENTS WITH BREAST CANCER: A CASE STUDY AT TIKUR ANBESSA SPECIALZED HOSPITAL, ETHIOPIA
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203201863
ISBN 13 : 9786203201864
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. COMPARISSON OF BAYESIAN AND CLASSICAL MODEL | ANALYSIS FOR SURVIVAL OF PATIENTS WITH BREAST CANCER: A CASE STUDY AT TIKUR ANBESSA SPECIALZED HOSPITAL, ETHIOPIA | Asrat Demeke | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203201864 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 119628474
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