{"id":"W3035663944","doi":"10.1111/2041-210x.13434","title":"Robustness of linear mixed‐effects models to violations of distributional assumptions","year":2020,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1352,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Heteroscedasticity; Random effects model; Statistics; Mathematics; Residual; Econometrics; Variance (accounting); Robustness (evolution); Mixed model; Best linear unbiased prediction; Computer science; Algorithm; Selection (genetic algorithm); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342764187613661,"score_gpt":0.3272200656833215,"score_spread":0.2929436469219554,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}