[R] Stratified Bootstrap question

From: <qiana_at_biostat.umn.edu>
Date: Wed 30 Mar 2005 - 03:53:16 EST

Dear R users,

I have a question regarding stratified bootstrap question and how to implement it using boot() in R's boot package.

My dataset is a longitudinal dataset (3 measurements per person at year 1, 4 and 7) composed of multiple clinic centers and multiple participants within each clinic. It has missing values.

I want to do a bootstrap to find the standard errors and confidence intervals for my variance components. My model is a mixed model with random clinic and random participant within clinic.

I thought two methods to do bootstrap:
(1) bootstrap data; however, I have problem specifying the second
parameter for my statistic function, shall I use indices, weight or frequency and how shall I relate to my dataset.
(2) bootstrap residuals; however, the dataset has multiple measurements
and missing values. I am wondering how to construct a new data frame containing the residuals and fitted values.

Any ideas will be highly appreciated!
Sincerely yours,

R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Wed Mar 30 04:04:36 2005

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