Then to deal with cluster could I use the ,cluster(id) command after regress where id is a variable that identifies the subdistirct in all samples?
No. If you're going to take stratification into account, you need to use
the -svy- commands. You declare your weight, clusters, and strata using
-svyset- (see the manual or help page). You use the -svy- prefix for
tables and for regressions, e.g., svy: reg y x. The -svy- commands
automatically know the design information you've supplied with -svyset-.
Stas said:
overall P[ selection ] = P[ to be selected in the first sample ] + P[ to be
selected in the second sample ] - P [ to be selected in both ] = 1 -
(1-P[first])*(1-P[second])
Is this correct even with if the first sample is an SRS and the second
is clustered? I can't show otherwise, but it doesn't feel right that
every case in a specific urban area should have the same weight
regardless of which sample it was drawn from.
