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I have longitudinal data (not fixed time points) for an outcome scale that is zero-inflated. The scale is for independence of behaviour and is scored from 0-10 with 0 being complete independence (absence of problem) and scores of 2, 4, 6, 8, 10 as indicators of less independence (10 being most dependent on carers). I want to see how outcomes are changing as a function of ageing and to compare those who have gone on to be diagnosed with dementia versus those who have not. It is expected that with ageing independence reduces and with dementia the slope is steeper.

I will use R to analyse the data. I am unsure of how to deal with the zero-inflated distribution so could anyone advise?

Thanks!

as above. working with a colleague but both unsure of how to work with zero-inflated distributions with random time points.

op2222
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  • Welcome to SO. Can you provide a [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) of any code you've tried so far and your dataset (or an example dataset)? SO users can help with programming questions, but if you need help with statistics (i.e., zero-inflated distributions), your question may be more appropriate for CrossValidated, not SO. – jrcalabrese Nov 20 '22 at 16:45

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