6 articles
Frailty model
A frailty model is a survival analysis model extending proportional hazards models with a multiplicative random effect representing unobserved heterogeneity, such as clustering or shared risk factors.
Generalized linear mixed model
A generalized linear mixed model (GLMM) is a regression model that extends the generalized linear model with random effects, widely used in biostatistics, ecology, and agronomy.
Growth curve analysis
Growth curve analysis is a statistical method for modeling how an outcome changes over time, using repeated measures to estimate individual trajectories and their differences.
Multilevel logistic regression
Multilevel logistic regression is a regression method for binary outcomes that adds normally distributed random effects at several levels, such as patients within hospitals, to model clustering.
Multilevel regression
Multilevel regression, also called hierarchical linear modeling, is a statistical method for fitting regression models to nested or clustered data such as students within schools.
Random regression model
A random regression model is a mixed statistical model expressing fixed and random effects as continuous functions of a covariate such as age or time.