This repository hosts the course materials for the biostatistics module of the Biomarkers in Neurodegenerative Disorders course at University of Gothenburg, May 24 to 28, 2021.
Statistical and visualization techniques will be demonstrated using R applied to data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). If you would like to execute the R code on your own machine, you should apply for access to ADNI and download and install the ADNIMERGE R package.
RStudio is also highly recommended.
The biostatistics module is from 16:00 to 19:00 (Gothenburg) Wednesday May 26, 2021. Topics include:
- Batch Effects
- Experimental Design (Sample Randomization)
- Statistical Models for Assay Calibration/Quantification
- Classification (Supervised Learning)
- Logistic Regression
- Binary Trees
- Random Forest
- Mixture Modeling (Unsupervised Learning)
- Univariate
- Bivariate
- Reference Regions
- Centiloids
- Standardization using the Empirical Cumulative Distribution Function (ECDF)
- Intro to longitudinal data analysis
- Summaries and plots
- Regression
- ANCOVA
- Two-stage models
- Mixed effect models
- Mean & Variance Structure
- Mixed Model for Repeated Measures (MMRM)
- Constrained Longitudinal Analysis (cLDA)
- Model selection strategies
- Nested random effects
- Missing Data, MAR, MNAR
- Multiple Imputation & Delta Method