GitHub

StatsPAI: a Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
IEEE

A Multidimensional Study and Analysis of Satisfaction with Intangible Cultural Heritage IP Co-Branded Products Based on Multi-Source Data

Abstract: Amidst rapid economic growth and the surge in consumer demand for personalization, brand collaboration marketing has emerged as a pivotal strategy for industries to transcend homogeneity and ...
Scientific Research Publishing

Comparative Analysis of ML Models for Survival Prediction of Glioblastoma ()

1 Department of Biochemistry, Chemistry, and Geology, Minnesota State University, Mankato, Mankato, MN, USA. 2 Department of Computer Information Science, Minnesota ...
GitHub

Bayesian Statistics using Julia and Turing

Welcome to the repository of tutorials on how to do Bayesian Statistics using Julia and Turing. Tutorials are available at storopoli.io/Bayesian-Julia. Bayesian ...
C&EN

Development of Pesticide-Likeness Scores and Models for Predicting Pesticide Activity of Molecular Scaffolds with Machine Learning

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Frontiers

Uncovering predictors of myopia in youth: a secondary data analysis using a machine learning approach

Myopia is a multifactorial condition driven by an interplay of genetic predisposition and environmental triggers. This study aims to harmonize and analyze risk predictors from two distinct datasetsone ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...