In this program
- Contingency tables
- Logistic and log-linear models
- Advanced categorical methods
Logistic and log-linear models
Categorical data analysis · Standard syllabus
Logistic regression for binary outcomes
Objectives
- Logistic regression for binary outcomes
- Multinomial
- Ordinal logistic models (intro)
- Log-linear models for count data
- Model selection and deviance
- Overdispersion
- Quasi-likelihood (intro)
Study materials
- Study guideComing soon
- Exam StrategyComing soon
- Common MistakesComing soon
- WorksheetsComing soon
- Word problemsComing soon
- Mixed PracticeComing soon
- Multi-Unit ProblemsComing soon
- ReviewComing soon
- Practice testComing soon
- Answer keyComing soon
Interactive practice
Quizzes, typed answers, and flashcards for this unit — coming soon.
- Coming soon
Quiz
Multiple-choice questions with instant feedback
- Coming soon
Typed practice
Type answers and check them
- Coming soon
Flashcards
Vocabulary and key facts
- Coming soon
Mixed quiz
Harder mixed review for this standard