When estimating a treatment effect with a cluster design, you need to include varying slopes, even...

TL;DR


Summary:
- The article discusses the concept of slopes and how they are used in statistical modeling and data analysis.
- It explains the importance of understanding slopes, including how they represent the rate of change between two variables and how they are used to make predictions and draw inferences.
- The article provides examples and explanations of different types of slopes, such as linear, exponential, and logistic, and how they can be interpreted in the context of various data sets and research questions.

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