Population-Based Brain Tumor Survival Analysis via Spatial- and Temporal-Smoothing.

ABSTRACT: In cancer research, population-based survival analysis has played an important role. In this article, we conduct survival analysis on patients with brain tumors using the SEER (Surveillance, Epidemiology, and End Results) database from the NCI (National Cancer Institute). It has been recognized that cancer survival models have spatial and temporal variations which are caused by multiple factors, but such variations are usually not "abrupt" (that is, they should be smooth). As such, spatially and temporally pooling all data and analyzing each spatial/temporal point separately are either inappropriate or ineffective. In this article, we develop and implement a spatial- and temporal-smoothing technique, which can effectively accommodate spatial/temporal variations and realize information borr

SUBMITTER: Ma C 

PROVIDER: S-EPMC6895900 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature