Linear mixed‐effects models are powerful tools for analysing complex datasets with
repeated or clustered observations, a common data structure in ecology and evolution …

Responses to hallucinogenic drugs, such as psilocybin, are believed to be critically
dependent on the user's personality, current mood state, drug pre-experiences …

Mixed effects models have become very popular, especially for the analysis of longitudinal
data. One challenge is how to build a good enough mixed effects model. In this paper, we …

Small area estimation is a research area in official and survey statistics of great practical
relevance for national statistical institutes and related organizations. Despite rapid …

Background A sonographic short cervix (length< 25 mm during midgestation) is the most
powerful predictor of preterm birth. Current clinical practice assumes that the same cervical …

What mechanisms support our ability to estimate durations on the order of minutes?
Behavioral studies in humans have shown that changes in contextual features lead to …

Mixed model packages can be used to analyze designed experiments with variance
structures that allow for heterogeneity of variance between treatments. Such analyses are …

Remaining useful life (RUL) prediction of lithium-ion batteries plays an important role in
intelligent battery management systems (BMSs). The current RUL prediction methods are …

A crucial step for understanding how lexical knowledge is represented is to describe the
relative similarity of lexical items, and how it influences language processing. Previous …

This paper provides a general overview of the mixed model, a powerful tool for analyzing
correlated data. Numerous books and other sources exist that cover the mixed model …