GitHub

Generalized Additive Models in Python.

🚀 Version 0.12.0 out now! See release notes here. pyGAM is a package for building Generalized Additive Models in Python, with an emphasis on modularity and performance. The API is designed for users ...
Scientific Research Publishing

Comparative Performance of Propensity Score Methods for Clinical Multi-Group Data: Balancing Confounders and Estimating Treatment Effects ()

1 Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China. 2 School of International Education, Southern Medical University, Guangzhou, China. 3 Guangdong ...
IEEE

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...
Frontiers

Toward interpretable expected goals modeling using Bayesian mixed models

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
Europe PMC

A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents.

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Europe PMC

Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification.

Machine learning (ML) models are used in clinical metabolomics studies most notably for biomarker discoveries, to identify metabolites that discriminate between a case and control group. To improve ...
C&EN

Alcohol Pretreatment to Eliminate the Interference of Micro Additive Particles in the Identification of Microplastics Using Raman Spectroscopy

AMBER Research Centre and Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN), Trinity College Dublin, Dublin D02 PN40, Ireland Department of Civil, Structural and Environmental ...
Frontiers

Linear Mixed-Effect Models Through the Lens of Hardy–Weinberg Disequilibrium

For genetic association studies with related individuals, the linear mixed-effect model is the most commonly used method. In this report, we show that contrary to the popular belief, this standard ...