JMP Academic Webinar – Teaching Mixed Models with JMP and JMP Pro

Webinar Overview

Linear mixed models — linear models with both fixed and random effects — have become widely taught in many disciplines due to their ability to handle non-independence among observations, a challenge that students are likely to encounter at some point in their careers. JMP and JMP Pro include extensive mixed modeling capabilities, with an interactive no-code interface that makes mixed models more approachable for many students. This webinar presents tools for analyzing basic blocking structures in JMP before moving on to JMP Pro for tutorials on analyzing data with more complex covariance structures and on mixed models for non-normal response data (generalized linear mixed models). We provide teaching tips along the way, including pointers to relevant teaching resources from the JMP Academic team.

Helpful Links

Register for upcoming JMP Academic webinars: www.jmp.com/academic-webinars

JMP for academics: www.jmp.com/academic

Free teaching materials: www.jmp.com/teach

JMP for students: www.jmp.com/student

Timestamps

0:00 Introduction
6:55 ANOVA with blocking effect in JMP
19:23 ANOVA with blocking effect in JMP Pro
24:53 Visualizing shrinkage
30:18 Random coefficients model
35:32 Visualizing covariance
39:15 Repeated measures
46:37 Visualizing correlations among residuals
51:08 Generalized linear mixed models
55:25 Teaching resources
4:28 Kaplan-Meier Analysis
14:17 Proportional Hazards Models
26:30 Estimating Time-to-Event Distributions
36:55 Left and Interval Censoring
40:40 Parametric Survival Models
47:40 Accelerated Life Testing
53:41 Degradation Analysis
56:28 Teaching Resources