Displaying 3 results from an estimated 3 matches for "morral".
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2006 Jun 29
0
twang - Toolkit for Weighting and Analysis of Nonequivalent Groups
...ette containing some basic theory
and walks through two examples. It is available by typing
vignette("twang")
at the R prompt after loading the library.
Background on the methodology with an application to evaluating drug
treatment programs is available in
McCaffrey, D., G. Ridgeway, A. Morral (2004). "Propensity score
estimation with boosted regression for evaluating adolescent substance
abuse treatment," Psychological Methods 9(4):403-425.
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2013 Sep 25
0
error when using ps() function on categorical variables - re propensity score matching
Dear List,
I am having difficulty running the ps() function when variables are stored
as factors and was hoping someone could provide some advice on how to
proceed.
I am running propensity score matching as outlined in:
Greg Ridgeway, Dan McCarey, Andrew Morral, Lane Burgette and Beth Ann
Grin (May 3, 2013) Toolkit for Weighting and Analysis of Nonequivalent
Groups: A tutorial for the twang package
and have a question about using unordered categorical variables as a
covariates. The tutorial indicates that:
"There is no need to ? create indicator,...
2006 Sep 18
0
Propensity score modeling using machine learning methods. WAS: RE: LARS for generalized linear models
...part of this is the development of a propensity score
model (when the exposure is binary). I would like to use
tools/approaches
that can do this semi-automatically so that the resulting model has both
low
prediction error and good covariate balance.
I have read your paper (McCaffrey, Ridgeway and Morral 2004), which uses
a
gradient boosting machine (gbm) to build a logistic regression model for
propensity score. I was wondering whether there are other tools that
can
also address this problem, for example, glmpath or MARS?
An important question is whether these "machine learning" metho...