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06-06-2012 01:45 AM

**Hi**

**I have a data of structure as 6 subjects each having 36 time point observations. Each of 6x36 rows have first column for a continuous response variable and the rest 3 columns for three continuous predictor variables. I need to build a model for each subject having different intercept but same slopes. Obviously there are issues of perfect link function, estimation method etc but those are of secondary interest.**

**One way I found is to add 6 binary predictors for 6 subjects and run PROC GLM to have different intercepts with same slopes for each subject. But probably this is considering the effects of states to be fixed not random. I read about usage of PROC MIXED in this article http://cba.ua.edu/~mhardin/ST610/ST610Web/LongitudinalAnalysisPapers/LONGITUDINAL.pdf and it seems that here we can use fixed as well as extend to random effects too. But I am not sure whether it can consider subjects effects to be fixed or random. If it considers so then can we get different intercepts for different subjects?**

**If PROC MIXED is not the solution then can anyone suggest another procedure that fulfills my requirement ?**

**Thanx**

**Dipanjan**

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06-07-2012 04:12 AM

I am interested in such kind of questions, but because I know little about MIXed model, so I am waiting someone can help to solve this good question.