# SMHS LinearModeling

## Contents

## Scientific Methods for Health Sciences - Linear Modeling

The following sub-sections represent a blend of model-based and model-free scientific inference, forecasting and validity.

### Statistical Software

This section briefly describes the pros and cons of different statistical software platforms.

### Quality Control

Discussion of data Quality Control (QC) and Quality Assurance (QA) which represent important components of data-driven modeling, analytics and visualization.

### Multiple Linear Regression

Review and demonstration of computing and visualizing the regression-model coefficients (effect-sizes), (fixed-effect) linear model assumptions, examination of residual plots, and independence.

### Linear mixed effects analyses

Scientific inference based on fixed and random effect models, assumptions, and mixed effects logistic regression.

### Machine Learning Algorithms

Data modeling, training , testing, forecasting, prediction, and simulation.

- SOCR Home page: http://www.socr.umich.edu

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