Bayesian clustering of 109 worldwide countries according to the trend of prostate cancer mortality rates from 1990 to 2019.

ABSTRACT: Neglecting possible growth heterogeneity and focusing only on the overall pattern of prostate cancer mortality rates can result in misunderstandings and incorrect conclusions about the growth process of the outcome. The main goal of this study was to capture the heterogeneity of prostate cancer mortality rates among countries from 1990 to 2019. To accomplish this aim, we performed the Bayesian latent Growth Mixture Model (GMM). In this longitudinal study, Prostate cancer mortality rates data from 1990 to 2019, as well as the Human Development Index (HDI), the Gross National Income (GNI), and the Life Expectancy at Birth (LEB), were obtained from WHO and UNDP platforms. The Bayesian GMM was used to discover homogeneous subgroups and estimate the pattern of prostate cancer mortality rates in

SUBMITTER: Mobaderi T 

PROVIDER: S-EPMC10424856 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature