Intervention evaluation using gllamm

Andrew Pickles ()
Additional contact information
Andrew Pickles: University of Manchester

German Stata Users' Group Meetings 2006 from Stata Users Group

Abstract: The gllamm procedure provides a framework in which to undertake many of the more difficult analyses required for trials and intervention studies. Treatment effect estimation in the presence of noncompliance can be undertaken using instrumental variable (IV) methods. I illustrate how gllamm can be used for IV estimation for the full range of types of treatment and outcome measures and describe how missing data may be tackled on an assumption of latent ignorability. I will describe other approaches to account for clustering and the analysis of cluster-randomized studies. Examples from studies of alcohol consumption of primary-care patients, cognitive behavior therapy of depression patients, and a school based smoking intervention are discussed.

Date: 2006-05-24

Downloads: (external link)
http://fmwww.bc.edu/repec/dsug2006/pickles_Germany2006_gllamm.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:boc:dsug06:02

Access Statistics for this paper

More papers in German Stata Users' Group Meetings 2006 from Stata Users Group
Contact information at EDIRC.
Series data maintained by Christopher F Baum ().