Re: [R] Clustered data with Design package--bootcov() vs. robcov()

Another question related to bootcov(): A reviewer is concerned with the fact that bootstrapping the standard errors does not give the same answers each time. What is a good way to address this concern? Could I bootstrap, say, 100 times and report the mean standard error of those 100 estimates? I

Re: [R] Clustered data with Design package--bootcov() vs. robcov()

jjh21 wrote: Another question related to bootcov(): A reviewer is concerned with the fact that bootstrapping the standard errors does not give the same answers each time. What is a good way to address this concern? Could I bootstrap, say, 100 times and report the mean standard error of those

Re: [R] Clustered data with Design package--bootcov() vs. robcov()

jjh21 wrote: Hi, I am trying to figure out exactly what the bootcov() function in the Design package is doing within the context of clustered data. From reading the documentation/source code it appears that using bootcov() with the cluster argument constructs standard errors by resampling whole

[R] Clustered data with Design package--bootcov() vs. robcov()

Hi, I am trying to figure out exactly what the bootcov() function in the Design package is doing within the context of clustered data. From reading the documentation/source code it appears that using bootcov() with the cluster argument constructs standard errors by resampling whole clusters of