Re: [R] GEE with Inverse Probability Weights

If you're going to reply to something from two weeks ago, it's helpful to include more of the conversation. However, the mechanism is straightforward. The standard error estimator assumes only that observations in different clusters are independent: it approximates the variance of the estimating

Re: [R] GEE with Inverse Probability Weights

Hi Frank, It clusters by twin, that is why in Dr. Lumley's example, the "id" was twin pair, not individual, and the SE is adjusted accordingly. Cheers, Josh On Thu, Jul 5, 2012 at 12:10 PM, RFrank wrote: > Thanks -- extremely helpful. But what is the mechanism by which this > analysis correct

Re: [R] GEE with Inverse Probability Weights

Thanks -- extremely helpful. But what is the mechanism by which this analysis corrects for the fact that my subjects are clustered (twins)? -- View this message in context: http://r.789695.n4.nabble.com/GEE-with-Inverse-Probability-Weights-tp4633172p4635533.html Sent from the R help mailing list

Re: [R] GEE with Inverse Probability Weights

On Wed, Jun 13, 2012 at 9:25 AM, RFrank wrote: > Greetings, > > I have a very, very, simple research question.  I want to predict one > dichotomous variable using another dichotomous variable.  Straightforward, > right?  The issue is that the dataset has two issues causing some > complications for

[R] GEE with Inverse Probability Weights

Greetings, I have a very, very, simple research question. I want to predict one dichotomous variable using another dichotomous variable. Straightforward, right? The issue is that the dataset has two issues causing some complications for me. 1) The subjects are not independent -- they are sibli