Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics.

ABSTRACT:

Background

Cancer atlases often provide estimates of cancer incidence, mortality or survival across small areas of a region or country. A recent example of a cancer atlas is the Australian cancer atlas (ACA), that provides interactive maps to visualise spatially smoothed estimates of cancer incidence and survival for 20 different cancer types over 2148 small areas across Australia.

Methods

The present study proposes a multivariate Bayesian meta-analysis model, which can model multiple cancers jointly using summary measures without requiring access to the unit record data. This new approach is illustrated by modelling the publicly available spatially smoothed standardised incidence ratios for multiple cancers in the ACA divided into three groups: common, rare/less common and

SUBMITTER: Jahan F 

PROVIDER: S-EPMC7568363 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature