SciELO

AgroReg: main regression models in agricultural sciences implemented as an R Package

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
tobaccocontrol.bmj

Banning tobacco sales in supermarkets: an evaluation of compliance and tobacco availability near supermarkets in three Dutch cities

Introduction The Netherlands implemented a supermarket tobacco sales ban on 1 July 2024. This study aimed to evaluate supermarkets’ compliance with the ban and potential unintended impacts on tobacco ...
jech.bmj

A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.
GitHub

AI For Artists

Artificial Intelligence? Let's dive in, artists! I am learning Machine Learning (a subset of AI), and my focus is the implementation of AI algorithms in Houdini to solve particular problems. Here I am ...
BMJ

Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis

Background Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of ...