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Multivariate multilevel model:grouped... |
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R McDowell posted on Friday, July 29, 2016 - 2:23 am
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Hello. I wish to find out if it is possible to fit the model below in Mplus. Outcome 1 is a proportion, measured over time e.g. 3/4, 6/7, 0/3 etc. Outcome 2 is also a proportion measured at the same time points, but the numerators differ from Outcome 1, eg. 2/3, 0/5 etc. Both outcomes have been measured in the same population and are not necessarily independent. I can model each outcome separately (outcome as a function of time), using individual binary data eg for outcome one the dependent variable in the first four records will comprise of 3 zeros and 1 one etc. As there is a cluster level variable, it isn't possible to use the freqweight option to collapse the data. However I would like to model both outcomes simultaneously. As both outcomes have been measured from the same sample, are not necessarily independent, I would prefer not to use a multigroup approach. It is possible to set up the data for this type of multivariate analysis in Mplus? Many thanks for any advice anyone can offer. |
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Sounds like your outcomes are really counts. Bivariate modeling of counts is possible adding a factor that influences both outcomes. |
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