Hi Steve, I have a question that is similar to the one asked in this thread, but in my data, I have the raw data (and can therefore compute the error estimates) for each time point. In this case, what is the best way to analyze the median change over time? For some context (and to help you better understand my question), I have a dataset with participants with seizures and want to see if their weekly seizure count (which is actually often a decimal, so not pure "count" data) decreases over the course of therapy. Because average weekly seizures is not normal, I would like to use medians to see if there is a decrease over time. I have the data for each individual without any missing data. My sample size is fairly small. What do you suggest? -LexE
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