Appl Categorical Data Analysis · Statistics
Analyzing contingency tables, logistic regression, multiple logistic regression, multinomial models, and other regression methods that apply to categorical data
Methods of categorical data analysis in R.
I learned regression and statistical inference for different types of categorical data, as well as the R code used to apply those strategies to real data sets. We covered logistic regression (binary responses), multinomial data, loglinear models, and contingency tables.
If you need it for a stats concentration or for a dual major that includes the applied statistics track, Take it!! You are in good hands with Ronald Neath
Yes, the recordings were extremely helpful in reviewing the material.
I learned basics of categorical data analysis
The "weird" parts of statistics - categorical variables and how you deal with them, probabilities, and lots of regressions.
the ability to manage, model, and understand categorical data
I learned about binomial model, multinomial model, poisson model, odds ratio, etc.
Central concepts in cateogrical data analysis and some application in R