Many statistics.com courses involve the modeling of binary or
categorical data. A good place to get additional practice with
software applications (including diagnosis and interpretation of
results) is in Bryan Marx's online course “Categorical Data –
Applied Modeling” November 12 – December 10 at statistics.com.
Oct 22: Modeling Count Data
Nov 12: Introduction to Structural Equation Modeling
Nov 12: Categorical Data – Applied Modeling (more below)
Nov 26: Generalized Linear Models
Jan 7: Introduction to Statistical Modeling
This course continues the survey of categorical data analysis
begun in Categorical Data Analysis. After taking this course,
students will know how to perform logistic regression (with both
binomial and multinomial response), probit, logit and loglinear
analysis using statistical software. Model diagnostics and
interpretation of results are also covered, and longitudinal
analysis is introduced.
Dr. Brian Marx is Professor of Statistics at Louisiana State
University, and has taught Categorical Data Analysis for over
ten years. He is currently serving as Chair of the Statistical
Modelling Society and is the Coordinating Editor of “Statistical
Modelling: An International Journal”. Dr. Marx has numerous
publications in peer reviewed journals. Participants can ask
questions and exchange comments directly with Dr. Marx via a
private discussion board throughout the period.
The course takes place online at statistics.com in a series of 4
weekly lessons and assignments, and requires about 15 hours/week.
Participate at your own convenience; there are no set times when
you are required to be online.
You may leave the list at any time by sending the command
to [log in to unmask], leaving the subject line blank.