COMPARISSON OF BAYESIAN AND CLASSICAL MODEL

Anglický jazyk

COMPARISSON OF BAYESIAN AND CLASSICAL MODEL

Vydavateľstvo: LAP LAMBERT Academic Publishing
Rok vydania: 2021
Formát: Paperback
Rozmer: 220 x 150 mm
Jazyk: Anglický jazyk
ISBN: 9786203201864

Na objednávku

50.85 €

bežná cena: 56.50 €

O knihe

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.