Otherwise, templates and eBooks (i.e. other than those distributed with Stat-JR) will be made available below as they become available.
Please see the CMM's webpage on missing data functionality for further details of the relevant templates available in Stat-JR. This includes the 2LevelImpute template, details of which were formerly found on the current page.
The zip file below contains an eBook (and supporting templates) with examples estimating causal effects in the presence of mediating variables. It uses the gformula command in Stata, an implementation of the g-computation procedure, and was produced as part of a collaborative project between the LEMMA III and PATHWAYS nodes of the ESRC-funded National Centre for Research Methods (NCRM).
Causal modelling - mediation (zip, 207 kb)
Once you have downloaded the zip file, extract it into your Stat-JR directory so that the files are saved as follows:
Whilst we have tested these files in a variety of scenarios, if you do encounter any problems then please let us know via our Bug Report Form.
The following zip files contain groups of templates that we didn't add to the main install but which may be of interest to users. To use these templates unzip them in the templates subdirectory of Stat-JR. Please note that these are development versions, and we will aim to add documentation on these templates at a later date.
further multivariate normal and mixed response models (zip, 59 kb)
further statistical operations in R (zip, 5 kb)
various types of templates for fitting models in aML (zip, 18 kb)
various types of other model (zip, 52 kb)