Jaap Brand, Ph.D.

Department of Biostatistics Ryals Public Health Bldg, 327K University of Alabama at Birmingham Birmingham, AL 35294 Phone: (205) 975-9172 Fax: (205) 975-2540 E-mail: JaapBrand@ms.soph.uab.edu Full CV Research Statement

Jaap P.L Brand Received his Ph.D. at The Erasmus University of Rotterdam The Netherlands in April 1999. The topic of his Ph.D. research was the development, evaluation and implementation of multiple imputation methods for the statistical analysis of incomplete data sets. TNO Prevention and Health, The Netherlands, funded the research. Jaap Brand developed a method for the generation of imputation, the so-called variable-by-variable Gibbs sampling algorithm, which is suitable for large data sets consisting of many incompletely observed variables. A simulation study described in his thesis shows that this algorithm has good statistical properties in many practical cases. From 1998-2000, Jaap P. L. Brand worked as an internal statistical consultant at the statistical software company, Statistical Solutions Ltd in Cork in Ireland. There he applied his expertise in multiple imputation to the company’s product SOLAS, the only commercially available multiple imputation software and he was involved in the development of EquivTest which is used for bio-equivalence testing in clinical trials. Jaap Brand was fully responsible for the validation document of SOLAS, which can be found at the web site of Statistical Solutions Ltd. From 2000-2001, Jaap.P.L. Brand worked for the CRO TNO Nutrition and Health Research, The Netherlands, where he was involved in clinical trials of functional food and risk assessment of food allergy.

Since Autumn 2001, Jaap.P. L. Brand has worked a post-doctoral fellow for the Section on Statistical Genetics at the Department of Biostatistics at UAB. He is actively involved in the development of methods for the statistical analysis of microarray data sets. His primary research is the development of an epistemology rigorous and statistically powerful procedure, the so-called Funnel algorithm, that both exploits the full potential of microarray data for enhancing understanding at a genomic level and that has a sound statistical foundation

Years: 2001 - 2003
Mentor(s): David B Allison PhD
Current Position: Biostatistician, The EMMES Corporation