Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

MMER is a flexible Python framework for multivariate mixed-effects regression. Its defining feature is a plug-and-play architecture that allows you to seamlessly integrate any generic regressor to ...

Abstract: Multivariate regression models are commonly used in industrial process measurements. Locally weighted partial least squares (LWPLS) is a just-in-time learning (JITL) method for nonlinear ...

The goal of lemur is to simplify the analysis of multi-condition single-cell data. If you have collected a single-cell RNA-seq dataset with more than one condition, lemur predicts for each cell and ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Multilevel modelling has rapidly become established as the appropriate tool for modelling data with complex hierarchical structures. It is important for extending our understanding of social, ...