This course aims to teach learners the concept of statistical modeling and how to run Linear Mixed Models (LMM) in R. By incorporating both fixed and random effects, LMM helps prevent false negative correlations and misinterpretation of trends in complex data sets. The course covers topics such as linear modeling, dose-response curves, multivariate models, and general linear models. Learners will gain skills in running LMM in R and understanding the relationship between variables in a more nuanced way. The course is suitable for individuals interested in advanced statistical modeling techniques using R.
Overview
Syllabus
Introduction
What is Statistical Modeling
Linear Modeling Example
Glass Tank Example
Dose Response Curve
Multivariant Model
General Linear Model
GLM Example
Linear Mix Model
Pseudo Replication
Random Effect
elmer
rmel
model
output
Taught by
LiquidBrain Bioinformatics
