score-test

metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.

USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.

Some movies to teach statistical concepts

Score tests for bivariate zero-inflated negative binomial regression

Model-embedded Score Test

Orthogonal SLX score tests for spatial Durbin models. R package.