Extending intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to study individual longitudinal trajectories, with application to mental health in the UK
Detecting and understanding interviewer effects on survey data by using a cross-classified mixed effects location–scale model
Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses
Detecting and understanding interviewer effects on survey data using a cross-classified mixed-effects location scale model