[EMAIL PROTECTED] wrote:
Dear R-list,
i have 6 different sets of samples. Each sample has about 5000 observations,
with each observation comprised of 150 baseline covariates (X), 125 of which
are dichotomous. Roughly 20% of the observations in each sample are treatment
and the rest are control
hi,
thanks for the reply to my query about exclusion rules for propensity
score matching.
Exclusion can be based on the non-overlap regions from the propensity.
It should not be done in the individual covariate space.
i want a rule inspired by non-overlap in propensity score space, but that
Alexis J. Diamond wrote:
hi,
thanks for the reply to my query about exclusion rules for propensity
score matching.
Exclusion can be based on the non-overlap regions from the propensity.
It should not be done in the individual covariate space.
i want a rule inspired by non-overlap in propensity
Dear R-list,
i have 6 different sets of samples. Each sample has about 5000 observations,
with each observation comprised of 150 baseline covariates (X), 125 of which
are dichotomous. Roughly 20% of the observations in each sample are treatment
and the rest are control units.
i am doing
