Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...

We study the profile-kernel and backfitting methods in partially linear models for clustered/longitudinal data. For independent data, despite the potential root-n inconsistency of the backfitting ...

Vorasidenib significantly reduced tumor growth rates in IDH1/2-mutant grade 2 glioma, improving PFS and TTNI compared to ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...