Displaying 1 result from an estimated 1 matches for "db_censor".
2008 Jan 25
1
Logit Regressions, Clustering etc
..."0" and "1"?
Assuming it is, the part I am really struggling with is the calculation of
robust standard errors to allow for clustering. In an "ordinary"
regression, I?ve used survreg, where the data has also been censored, e.g.:
res1 <- survreg(formula = Surv(ip, db_Censor) ~ y1 +
y5 + cluster(db_ID),
dist = "gaussian")
summary(res1)
This has the benefit of giving a nice clear display of the na?ve standard
error as well as the robust one - is there any way of getting similar output
for a logit and an ordered logit regression
Thanks in advance for your h...