Department:
Statistics >
Course:
Stat Methods for Research 2
STAT
512

## Stat Methods for Research 2

### Hours

3.0 Credit, 3 Lecture, 2 Lab

### Semester

Winter
Advanced statistical methodologies and experimental design. Topics include multi-way analysis of variance, mixed models analysis of variance, logistic regression, log-linear models, time series models, principal components, canonical correlation, common experimental designs.

## Two-Way ANOVA

Fit a two-way ANOVA and interpret the main effects and interaction

## Fixed and Random Effects

Explain the differences between fixed and random effects and interpret computer output from mixed model analyses

## Evidence of Autocorrelation

Identify evidence of autocorrelation and fit an ar(1) model to analyze continuous time series data

## Multivariate Data

Recognize multivariate data, and appropriately carry out principal components analysis and canoncial correlation analysis using statistical software

## Interpret and Calculate

Interpret and calculate odds, odds ratios, risk differences, and relative risks from 2x2 contingency tables and describe which measures are justified in prospective and retrospective studies

## Assess Associations

Use X^2 tests and Fisher's Exact tests to assess associations in 2x2 contingency tables

## Fit and Interpret

Fit and interpret simple generalized linear regression models (binary response data and count response data) and draw appropriate conclusions justified by the study design

## Construct Designs

Construct a factorial design and a screening design