Biostatistics: datasets and software
This page contains links to examples used in our methodological research, and software commands developed by members of the Biostatistics group.
- ODIN (Outcome of Depression International Network Study)
- SoCRATES (Study of Cognitive Re-Alignment Therapy in Early Schizophrenia)
PROSPECT (Prevention of Suicide in Primary Care Elderly: Collaborative Trial)
The PROSPECT trial was a multi-site prospective, randomised trial designed to evaluate the impact of a primary care-based intervention on reducing major risk factors (including depression) for suicide in later life. The trial was conducted by a team of researchers in the USA.
Data from this trial are available on the Biometrics journal website as supplementary material to the paper:
Ten Have TR, Joffe MM, Lynch KG, Brown GK, Maisto SA, Beck AT. Causal mediation analyses with rank preserving models. Biometrics, 2007, 63(3), pp926–34.
This dataset was also analysed in the article by Emsley, White and Dunn (Stats Methods in Medical Research, 2010, 19(3), pp.237-270), thanks to the kind permission of Professor Thomas Ten Have.
Appendix 1 from this article contains Stata and Mplus code which analyse this data using instrumental variables and principal stratification.
Software
GLLAMM command for Stata
Professor Andrew Pickles is involved in the development of the GLLAMM (generalised linear latent and mixed models) command in Stata. For more information, please go to: the GLLAMM website.
Double Robust (DR) command for Stata
The article by R Emsley, M Lunt, A Pickles and G Dunn (The Stata Journal, 2008, Vol 8(3), pp.334-353) introduced the DR command for Stata. The command can be installed within Stata by typing "search dr" at the command prompt, or from the following link: Download the dr command
clsampsi command for Stata
Chris Roberts and Eva Batistatou have developed a STATA ado file for estimating power and number of clusters/cluster sizes for trials with clustering effects (for continuous and binary data). Further information can be found on the clsampsi webpage.