It would be interesting know what you came up with 'clustering across time'
but I think we'll more easily understand the relations b/t Procedure Codes and Treatment Behavior (if I got this right) if we cluster first within moments of time (where all the substantive dynamics come closely together) and then link these profiles (or configurations) across time (eg crosstabs or loglinear models). In this way, we can observe changes over time in the "sample-level" range of Procedure Codes X Treatment Behaviors (eg, maybe Code x Behavior configurations will become stronger over time or different configurations will emerge over time) and we can also observe individual-level changes over time, as each person moves into and out specific CxB configurations (eg, some personal pathways may be more probable than others, and there may be other variables that can predict these pathways or pathways that deviate from the most probably pathway)
...just some thoughts...
Steve




Shannon, William wrote:
I have a new project that is intriguing and offers data I have never tried to 
cluster.

The question is whether there are hiv/aids patients treated differently 
according to their medicaid procedure codes (what was done to them). Procedures 
occur over time so  changing the clustering over time would seem reasonable. 
Hopefully we will see clusters of patients form based on medical interventions 
given, and stabilize as we move forward.

I have never done anything like this and wanted to know if anyone could point 
me in the right direction towards previously done work along this line.

Thank you

Bill Shannon, PhD
Associate Prof. of Biostatistics in Medicine
Washington University School of Medicine
Director, Biostatistical Consulting Center
314-454-8356

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Stephen C. Peck
Research Investigator
Achievement Research Lab
Research Center for Group Dynamics
Institute for Social Research
University of Michigan
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