2 papers
stat.AP2026
Convergence fragility in probit Bayesian kernel machine regression implemented in the bkmr R package for binary-outcome environmental mixture analyses: a simulation study
Akifumi Eguchi, Takayuki Kawashima, Tomotaka Momozaki +1
Background. Bayesian kernel machine regression (BKMR) is widely used for exposure-mixture analyses with binary outcomes through a probit extension. Because a bkmr fit can complete…
stat.ME2025
New Insight of Spatial Scan Statistics via Regression Model
Takayuki Kawashima, Daisuke Yoneoka, Yuta Tanoue +2
The spatial scan statistic is widely used to detect disease clusters in epidemiological surveillance. Since the seminal work by~\cite{kulldorff1997}, numerous extensions have emerg…