Hi everyone, this is my first post in here. Hope I can find some help
I have a dataset (long format) of individuals that has their own unique ID. Each ID occurs three times in my dataset, as each individual has been repeatedly measured on a specific symptom (ordinal variable). I have a variable that tells me if the observation comes from survey 1, 2 or 3. I also have a variable that tells me how many children the individual had at the time of measure. Lastly I have variables such as smoking (yes/no) that I want to adjust for. I want to examine the association of the symptom and number of children.
My question is what regression do I use?
I have been thinking about using multilevel regression and then nest survey results within each respondent to account for the same respondents answering surveys over time. I just don't know how to do this in stata.
Also, I would like to adjust for the symptom score and number of children at baseline
I have a dataset (long format) of individuals that has their own unique ID. Each ID occurs three times in my dataset, as each individual has been repeatedly measured on a specific symptom (ordinal variable). I have a variable that tells me if the observation comes from survey 1, 2 or 3. I also have a variable that tells me how many children the individual had at the time of measure. Lastly I have variables such as smoking (yes/no) that I want to adjust for. I want to examine the association of the symptom and number of children.
My question is what regression do I use?
I have been thinking about using multilevel regression and then nest survey results within each respondent to account for the same respondents answering surveys over time. I just don't know how to do this in stata.
Also, I would like to adjust for the symptom score and number of children at baseline
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