Central to the idea of variance components models is the idea of fixed and random effects. Each effect in a variance components model must be classified as either a fixed or a random effect. Fixed ...

The MODEL statement names a single dependent variable and the fixed effects, which determine the X matrix of the mixed model (see the "Parameterization of Mixed Models" section for details). The ...

Disease-mapping models for areal data often have fixed effects to measure the effect of spatially varying covariates and random effects with a conditionally antoregressive (CAR) prior to account for ...

This study estimates a fixed effects panel data model that adopts a partially linear form: the coefficients of some variables are restricted to be constant, but the coefficients of other variables are ...

Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection is usually diagnosed via reverse transcription PCR or RT-PCR, but this method is far from perfect. According to one review, ...