A Spatial–Temporal Bayesian Model for a Case-Crossover Design with Application to Extreme Heat and Claims Data

A Spatial–Temporal Bayesian Model for a Case-Crossover Design with Application to Extreme Heat and Claims Data

Epidemiological approaches for examining human health responses to environmental exposures in observational studies frequently address confounding by employing advanced matching techniques and statistical methods grounded in conditional likelihood. This study incorporates a recently developed Bayesi...

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Bibliographic Details
Main Authors: Menglu Liang, Zheng Li, Lijun Zhang, Ming Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Stats
Subjects:
case-crossover (CCO) design
environmental epidemiology
Bayesian inference
multivariate conditional autoregressive priors
claims data
Online Access:https://www.mdpi.com/2571-905X/7/4/80

Internet

https://www.mdpi.com/2571-905X/7/4/80

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