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Member Training: Analyzing Longitudinal Data: Comparing Regression and Structural Equation Modeling Approaches

July 2nd, 2024 by

When analyzing longitudinal data, do you use regression or structural equation based approaches? There are many types of longitudinal data and different approaches to analyzing them. Two popular approaches are a regression based approach and a structural equation modeling based approach.

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Member Training: Linear Regression in SPSS (Tutorial)

March 29th, 2024 by

Stage 2Regression is one of the most common analyses in statistics. Most of us learn it in grad school, and we learned it in a specific software. Maybe SPSS, maybe another software package. The thing is, depending on your training and when you did it, there is SO MUCH to know about doing a regression analysis in SPSS.

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Member Training: Coarsened Exact Matching, an Alternative to Propensity Score Matching

February 29th, 2024 by

The objective for quasi-experimental designs is to establish cause and effect relationships between the dependent and independent variables. However, they have one big challenge in achieving this objective: lack of an established control group.

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Member Training: Interactions in Poisson and Logistic Regression – Part 2

December 1st, 2023 by

Interactions in statistical models are never especially easy to interpret. Throw in non-normal outcome variables and non-linear prediction functions and they become even more difficult to understand. (more…)


Member Training: Frailty Models

November 2nd, 2023 by

Most survival analysis models for time-to-event data, like Cox regression, assume independence. The survival time for one individual cannot influence the survival time for another.

This assumption doesn’t hold in many study designs. You may have animals clustered into litters, matched pairs, or patients in a multi-center trial with correlated survival times within a center.

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Member Training: Group Comparisons

August 31st, 2023 by

How do you know which method to use when you want to compare groups?
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