The objective of this course is to provide students with the basics of statistical inference, as well as statistical tools for data modeling in a regression framework. The theory behind the statistical models will be reviewed with an emphasis on data applications in management.
The course will focus on regression models, including linear models, generalized linear models and models for longitudinal data with random effects and correlation structures. For each of these models, basic inference principles will be covered, notably hypothesis testing and estimation procedures.
Basic principles in inference and statistical modeling
Linear models
Generalized linear models
Models for longitudinal data and correlated data
Introduction to survival analysis