Vision
Analysis, inference and modelling from discovery through product life cycle.
Mission
Help maximize the value of GSK products and processes through our partnering and consulting efforts by using and developing statistical, data exploration, and decision science methods and promoting their use throughout R&D.
What we do
Research & develop design, analysis & modeling methods
Bring statistical & quantitative capabilities into the business
How we work
Listen
Partner
Consult
Teach
Develop
Statistical Sciences--Provides statistical support for all areas of the pre-clinical process in GSK.
- design of experiments
- multivariate data analysis
- graphical display
- data analysis for decision making
Research Statistics Unit--Develops new statistical methods to address industry needs, particularly in emerging scientific areas, and provides expert statistical advice to statisticians and scientists throughout GSK.
response-driven design: adaptive, sequential, flexible
Bayesian techniques in experimental design
stochastic differential equations, Bayesian estimators
clinical trials design & analysis
Capabilities:
- Develop new statistical methods
- Support to Drug Discovery (CEDD)
- Support for Discovery Research
- Support for Genetics Research
- Pre-Clinical Development Statistics
- Statistical Education & Enablement
- Statistical Computing
- Provide expert statistical advice
- Image Analysis
- Biomath Modeling
- Bayesian Networks
- Neural Networks
- Recursive Partitioning
- Evolutionary Computing
- Multivariate Models
- Text Mining and Analysis
- Support Vector Machines
- Model Based Clustering
- Decision Analysis
- Optimization
- Discrete-event simulation
- Exploratory Analysis
- Interact with the Biometrics Advisory Board and academia
- Develop expertise in emerging scientific areas, such as bioinformatics, pharmacogenetics and medical imaging
DDS Technical Reports published by the Research Statistics Unit:
2008,
2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999
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