1.Review of Logistic Regression Fundamentals 2. Complete and Quasi-Complete Separation 3. Rare Events Bias 4. Overdispersion and Multiple Link Functions 5. Variable Selection Methods 6. Multicollinearity 7. Non-linearity in Predictors 8: Interaction Effects 9. Model Diagnostics and Goodness-of-Fit 10: Model Validation and Prediction 11. Logistic Regression for Longitudinal Data 12. Multinomial and Ordinal Logistic Regression 13. Handling Missing Data 14. Survey Data and Complex Sampling 15. Bayesian and Causal Methods 16. Reporting Standards and Domain Applications. Hints and Selected Solutions. Solutions to Exercises
Biography
Hassan Doosti is Program Director of the Master of Data Science and Senior Lecturer in Statistics in the School of Mathematical and Physical Sciences at Macquarie University, Sydney, Australia. He is the author and editor of four books, including Nonparametric Flexible Curve Estimation (Springer Nature, 2024), Ethics in Statistics: Opportunities and Challenges (Ethics International Press, 2024), Practical Biostatistics for Medical and Health Sciences (Springer Nature, 2024), co-authored with Hassan Saneii, and Long Memory Time Series Analysis (Chapman and Hall/CRC, 2026), co-authored with Gnanadarsha Sanjaya Dissanayake.
