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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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Member Training: Using Macros, Loops, and Functions in Stata to Manage Your Data Software Tutorial

March 31st, 2023 by

Many data sets are challenging and time consuming to work with because the data are seldom in an optimal format.

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Member Training: Moderated Mediation, Not Mediated Moderation

February 28th, 2023 by

Moderated mediation, also known as Conditional Process Modeling, is great tool for understanding one type of complex relationship among variables.

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