Yu Ye posted on Friday, February 25, 2005 - 2:55 pm
I am wondering if Zero-inflated Poisson regression can be modelled in multilevel structure. I can't find the example in Mplus manual (Chapter 9, version 3). I am working on a project to predict the number of prior emergency room visits in which patients are nested in ERs. In particular I would like to know if two random intercept and two slopes would be modelled for both the counts and probability as in the normal ZIF regression.
No, this is not available in the current version of Mplus. Only continuous and categorical outcomes can be modeled with multilevel models. If you look up ESTIMATOR in the Mplus User's Guide, you will find a summary of which types of analyses are available for different outcome types and which estimators are available for these combinations. You may find this tabel useful.
I am trying to do a similar analysis as Yu Ye describes in the beginning of this thread where a zero-inflated Poisson regression or zero-inflated negative binomial multilevel model seems appropriate. In my case, the dependent variable is a measure of drug use, and thus, it seems very similar to the two-part modeling being done in MPlus with longitudinal data since there are many zeros. However, my data is nested, cross-sectional. Can MPlus do this type of analysis?
Hi, I am answering the reviewers comments related to my paper. I did structure equation modeling using Mplus. The reviewer asking about zero inflated poission regression and also suggest do to multilevel analysis. I did not know how to do it. I also read your instruction and try to to it in mplus, but I failed. I am looking for tutor who can help me. I am from Vietnam. I hope you can suggest me anybody who are very good at these things. I am looking forward to communicate through skype in English (only) and through email. I hope you can introduce me one person and also let me know how much do I have to pay. Many thanks and regards, Diep.
I'm running a zero inflated poisson regression and I'm testing an interaction between 2 continuous variables. The interaction shows to be significant improving significantly the fit. Now, what's the best way to follow-up this interaction on M-plus?