Linear Regression Using Stata

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Date/Time
Date(s) - 08/14/2018 - 08/15/2018
12:00 am

Location
Hotel Birger Jarl

Categories


Statistical Horizons in introducing their new Linear Regression Using Stata, summer course taught by Dr. Paul Allison on August 14-15 in Stockholm, Sweden.

Linear regression is the most widely-used method for the statistical analysis of non-experimental (observational) data. It’s also the essential foundation for understanding more advanced methods like logistic regression, survival analysis, multilevel modeling, and structural equation modeling. Without a thorough mastery of linear regression, there’s little point in trying to learn more complex regression methods.

The seminar will begin by focusing on the two major goals of linear regression: prediction and hypothesis testing. We’ll look at several examples from published articles to see how linear regression is used in practice and how to interpret regression tables. Next we’ll consider all the things that can go wrong when using linear regression, and we’ll see how to critique the analyses done by others. We’ll delve into the mathematical theory behind linear regression, focusing on the essential assumptions, and on the implied properties of the least squares method. We’ll also spend considerable time on techniques for building non-linearity into linear regression by way of transformations, interactions, and dummy (indicator) variables.

This seminar is designed for people who have a basic background in statistics, and who want to learn more about the theory and practice of linear regression. You’ll need to have taken an introductory course in statistics, and be comfortable with such concepts as random sampling, measures of center and variability, correlation, sampling distributions, standard errors, confidence intervals, and hypothesis testing.

If you would like to attend these course please register RSVP to reserve your spot. The course cost 870 USD if a student or academic or 1450 USD if Non-academic. For more information on the course click HERE.

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