Longitudinal Data Analysis

STA-561LEC-0

University at Buffalo

  • Semester
    Spring 2025
  • Instructor
    Joseph D Consiglio
  • Start Date
    01-22-2025
  • Total Credits
    3
  • Call to Register
    716-645-5698

Take your class online with SUNY

You will learn the same curriculum as our on-campus students

Introduction to methods for analyzing longitudinal and time series data. Topics: Random coefficient regression models, growth curve analysis, hierarchical linear models, general mixed models, autoregressive and moving average models for time series data, and the analysis of cross-section time series data.
Course Area: Statistics
Level: Graduate
Dates: 01-22-2025 - 05-06-2025
Find books for your online class
Instructor: Joseph D Consiglio
Local Course ID: 25SP_BUF_STA561_LEC000
Books & Supplies
  • How to Register for an Online Course

    Let's put your mind at ease about online learning

  • Search
    Search for an online course by keyword, semester, campus, area, or a combination of each.
  • Select Course
    Select a course from the results list that fits your needs.
  • Visit College Website
    Click “register now” to visit the college website to register as a “non-credit” or “non-matriculated” student if you are not enrolled at the campus.
  • Contact Registrar
    Contact the registrar’s office or enrollment office to register for the course. Make sure you have the course name and course ID when you register.
  • Transfer Credits
    If you plan to transfer credit for the course, make sure you have reviewed the course with the advisor at your current college to ensure the credits will transfer to your degree program.
  • Locate Course Materials
    Once you register for the course, visit the campus bookstore to find the books and materials for the course. You will need the course ID to find the books.

Interested in registering for this class?

Your Privacy is Important To Us.

SUNY.edu uses simple cookies to help build a better website experience for our visitors. Learn more through our Privacy Policy.