About this Event
Linear mixed model is a power tool to make accurate and precise inferences about correlated observations in designed experiments. JMP is a suite of computer programs for statistical analysis and data visualization developed by the JMP business unit of SAS Institute. JMP integrates statistics with dynamic graphics and is an ideal environment within which to learn and apply mixed models. This workshop is designed to demo in JMP pro how to analyze common mixed models such as randomized block, split-plot, and repeated measures designs, how to appropriately set up and interpret fixed and random effects, how to simulate mixed models to assess power, and other important sampling characteristics. Hands on tutorials will be conducted throughout the session. Prior preliminary knowledge of JMP pro is not required.
