Hi Jon, I missed the original post. If you only care about people being interviewed/not interviewed, then I would construct a 2x2 markov chain (the transition matrix has 2 free variables) and simply calculate the posterior (if you like Bayesian methods). If the interview times are irregular in time, use a continuous time MC.
HTH, Tamas On Sat, Nov 04, 2006 at 08:17:08PM -0800, Spencer Graves wrote: > I haven't seen other replies, so I'll offer a feeble comment: > It's not clear to me the "events" for which you want to estimate > probabilities. If you would still like help from this listserve, I > suggest you send us a toy example with typical (possibly made up) "data" > consisting of 5-10 "observations" on 2-4 individuals. Then tell us what > you'd like to do in terms of this toy example, possibly including things > you've tried and why they didn't seem to give you what you wanted. > > Hope this helps. > Spencer Graves > > Jon Minton wrote: > > This is probably very simple but my brain has frozen over. (I'm trying to > > warm it with coffee) > > > > > > > > I have observations of around 22000 individuals over 13 successive years: > > they were either 'interviewed' at time t or 'not interviewed'. > > > > What's the most appropriate function/approach to use to find out the extent > > to which individuals' event outcomes are temporally correlated? > > > > > > > > Thanks, > > > > > > > > > > > > Jon Minton > > > > > > > > > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > [email protected] mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
