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 ...
C&EN

Fabrication of Soft Robotics by Additive Manufacturing: From Materials to Applications

Casali Center for Applied Chemistry, Institute of Chemistry, and Center for Nanotechnology and Nanoscience Hebrew University of Jerusalem, Jerusalem 91904, Israel ...
Nature

Risk factors for highly pathogenic avian influenza outbreaks in Japan during 2022–2023 season identified by additive Bayesian network modeling

Highly pathogenic avian influenza (HPAI) has caused significant damage to the poultry industry globally, including in Japan. To identify farm-level risk factors for HPAI infection while considering ...
Nature

Association between aspartate aminotransferase to alanine aminotransferase ratio and mortality in critically ill patients with end stage renal disease

The aspartate aminotransferase to alanine aminotransferase (AST/ALT) ratio has been extensively studied in relation to mortality, yet its specific association with intensive care unit (ICU) mortality ...
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 ...
The Lancet

Non-optimal temperature-attributable mortality and morbidity burden by cause, age and sex under climate and population change scenarios: a nationwide modelling study in Japan

aDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan bSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan ...
PNAS

An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies

Causal inference has been increasingly essential in modern observational studies with rich covariate information. However, it is often challenging to estimate the causal effect with high-dimensional ...