Now that you have a foundational understanding of generalized linear models (GLMs) and mixed effect models, a critical skill is knowing when and how to practically implement and assess these models to answer research questions. In this course, you will apply these modeling techniques to an ecological data set containing information about dragonfly habitat and behaviour. Here, you'll find that some questions can be answered using GLMs, while other questions require insight that can be gained using random intercept or random intercept and slope models. At each step, you will learn how to determine if your model is appropriate using model diagnostics, use the estimated parameters to make predictions about dragonfly abundance and behavior, visualize the relationships described by the models, and learn how to address problems that arise when the model you have built is not the right one for the job!
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Devon Edwards Joseph
Lloyds Banking Group
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Harvard Business School
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Decision Science Analytics, USAA