A multi-country comparison of stochastic models of breast cancer mortality with P-splines smoothing approach.

ABSTRACT:

Background

Precise predictions of incidence and mortality rates due to breast cancer (BC) are required for planning of public health programs as well as for clinical services. A number of approaches has been established for prediction of mortality using stochastic models. The performance of these models intensely depends on different patterns shown by mortality data in different countries.

Methods

The BC mortality data is retrieved from the Global burden of disease (GBD) study 2017 database. This study include BC mortality rates from 1990 to 2017, with ages 20 to 80+ years old women, for different Asian countries. Our study extend the current literature on Asian BC mortality data, on both the number of considered stochastic mortality models and their rigorous evaluation usin

SUBMITTER: Mubarik S 

PROVIDER: S-EPMC7727112 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature