Hello,
I am trying to bootstrap a coefficient from a logistic regression model which uses complex survey data. I have a working knowledge of bootstrapping and complex survey data, but I've come up with something of a blind spot when the two are combined.
As I understand it something called "bootstrap replicate weights" might be really important when bootstrapping with complex survey data. However, I have yet to find an intuitive explanation of bootstrap replicate weights; rather, the literature mentions them but rarely defines them. At this point I'm not sure if I need to worry about bootstrap replicate weights or if I can just start bootstrapping with the svy bootstrap command but I am very hesitant to proceed given my lack of knowledge.
Can anyone point me to a reasonably intuitive, conceptual introduction to bootstrap replicate weights or, more generally, bootstrapping with survey data?
Thanks for any help! I know requesting readings is a bit unusual for this forum but I find that Statalist provides some of the most practical, useful knowledge of any of the methodological forums out there.
Adam
I am trying to bootstrap a coefficient from a logistic regression model which uses complex survey data. I have a working knowledge of bootstrapping and complex survey data, but I've come up with something of a blind spot when the two are combined.
As I understand it something called "bootstrap replicate weights" might be really important when bootstrapping with complex survey data. However, I have yet to find an intuitive explanation of bootstrap replicate weights; rather, the literature mentions them but rarely defines them. At this point I'm not sure if I need to worry about bootstrap replicate weights or if I can just start bootstrapping with the svy bootstrap command but I am very hesitant to proceed given my lack of knowledge.
Can anyone point me to a reasonably intuitive, conceptual introduction to bootstrap replicate weights or, more generally, bootstrapping with survey data?
Thanks for any help! I know requesting readings is a bit unusual for this forum but I find that Statalist provides some of the most practical, useful knowledge of any of the methodological forums out there.
Adam
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