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so in this lecture Iamp;#39;m going to wrap up our overall discussion of time series models with one last topic which is just a generalization of what weamp;#39;ve 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 itamp;#39;s 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 itamp;#39;s 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 weamp;#39;ve been talking about up to now you know random effects on unit or Auto code errors on units you know theyamp;#39;re often differences between our observational units that are just there by chance and so we
