About the author and department:
Personal webpage:
http://www.lse.ac.uk/researchAndExpertise/Experts/profile.aspx?KeyValue=w.p.bergsma%40lse.ac.uk
Statistics Department:
http://www.lse.ac.uk/statistics/home.aspx
Relevant research:
Bergsma, W. P., M. A. Croon and J. A. Hagenaars (2009). Marginal models for dependent, clustered and longitudinal categorical data. Springer, New York. http://eprints.lse.ac.uk/16384/
Bergsma and van der Ark (2012). CMM 0.4: an R-package.
http://www.icesi.edu.co/CRAN/web/packages/cmm/cmm.pdf
CMM 0.8: http://cran.r-project.org/web/packages/cmm/cmm.pdf
Bergsma, W., E. Aris and F. Tibaldi (2013). Linear Categorical Marginal Modeling of Solicited Symptoms in Vaccine Clinical Trials. Statistics in Biopharmaceutical Research 5(1), 27-37. http://eprints.lse.ac.uk/61227/
Evidence of impact:
The results of the case study are reported in this article:
Bergsma, W., E. Aris and F. Tibaldi (2013). Linear Categorical Marginal Modeling of Solicited Symptoms in Vaccine Clinical Trials. Statistics in Biopharmaceutical Research 5(1), 27-37.
http://eprints.lse.ac.uk/61227/
A presentation of the case study was given at the 33rd conference of the International Society for Clinical Biostatistics (Bergen, August 19th-23rd, 2012): Linear Categorical Marginal Modeling of Solicited Symptoms in Vaccine Clinical Trials.
Presenter: Emmanuel Aris1
Co-authors: Wicher Bergsma2, Fabian Tibaldi1
1 GlaxoSmithKline Biologicals, Wavre, Belgium
2 London School of Economics and Political Science, London, UK