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so in this lecture Im going to wrap up our overall discussion of time series models with one last topic which is just a generalization of what weve been talking about before which is this idea of intervention analysis which really think fits well within this general theme of repeated measures so what is the intervention else its an intervention alysus is where you have treatments as part of some experimental manipulations those treatments play out in time and so you know this is actually a you know very common experimental design I think its a very powerful experimental design where you have some pretreatment data that establishes what are the differences between your measurement units which is important because you know and everything weve been talking about up to now you know random effects on unit or Auto code errors on units you know theyre often differences between our observational units that are just there by chance and so we can collect pre-tape mint data to establish ho
