COMPARISSON OF BAYESIAN AND CLASSICAL MODEL

Language: English

Published by LAP LAMBERT Academic Publishing Jan 2021, 2021

6203201863 / 9786203201864

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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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.…

Seller Inventory # 9786203201864

Title
COMPARISSON OF BAYESIAN AND CLASSICAL MODEL
Author
Asrat Demeke
Publisher
LAP LAMBERT Academic Publishing Jan 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6203201863
ISBN 13
9786203201864
Item weight
173 grams
Dimensions
220x150x7 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany