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Spatially-explicit survival modeling with discrete grouping of cancer predictors.


ABSTRACT: In this paper, the spatially explicit survival model is extended by allowing the relation with the explanatory covariates to be spatially adaptive using a threshold conditional autoregressive (CAR) model, further extended to allow the inclusion of multiple threshold levels. The model is applied to prostate cancer survival based on Louisiana SEER registry, which holds individual records linked to vital outcomes and is geocoded at the parish level.

SUBMITTER: Onicescu G 

PROVIDER: S-EPMC6541023 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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