Intervention evaluation using gllamm
AbstractThe 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Stata Users Group in its series German Stata Users' Group Meetings 2006 with number 02.
Date of creation: 24 May 2006
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-06-03 (All new papers)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
If references are entirely missing, you can add them using this form.