Statistical Methods Series: Mixed Models

How Do You Address Autocorrelation In Interrupted Time Series? - The Friendly StatisticianПодробнее

[2025-06-11] Pseudobulk DGE statistical methods journal clubПодробнее

Mixed Models #3: Modeling Non-normal Data Generated by Designed ExperimentsПодробнее

Mixed Models #2: Modeling Data Generated by Designed ExperimentsПодробнее

Mixed Models for Intensive Longitudinal Data: Intro to EMA & Multilevel Analysis with Donald HedekerПодробнее

Longitudinal Data Analysis using R: How to Fit Linear Mixed Models using nlme Additional AnalysesПодробнее

statistical methods series zero inflated glm and glmmПодробнее

Break Free from Independence: Mixed Models for Dependent Data - Gordana PopovicПодробнее

Using lme4 in R for Mixed ModelsПодробнее

To transform or not to transform: Using Generalized Linear Mixed Models to analyse re... | RTCL.TVПодробнее

Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)Подробнее

CBW Analysis Using R 2024 | 03: Linear Mixed Models and EvaluationПодробнее

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JMP Academic - Teaching Mixed Models with JMP and JMP ProПодробнее

UW BIRCH Methods Workshop: Generalized Linear Mixed Effects Models for Longitudinal AnalysisПодробнее

Mixed Model ANOVA (Analysis of Variance) Simply explainedПодробнее

Mixed Effects Models Part 1: What is a Mixed Effects Model?Подробнее

Nonlinear mixed effects models (NLME) - explainedПодробнее

Linear mixed effect models in Jamovi | 3 | Factor coding, scaling, & residual normalityПодробнее

Linear mixed effect models in Jamovi | 2 | REML & Random InterceptsПодробнее