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WP8:Statistical modelling of multi-modal variables/responses

Work Packages

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Main Objectives

  • To ensure that analysis and results reported provide a true and complete representation of the experimental results.
  • To foster standards to allow for the documentation, capture and exchange of experimental data between all groups and working parties; thus enable an open and in depth analysis of the corresponding results
  • To enable, where applicable, the analysis of multivariate, or multimodal, variables/responses – our biomarker matrix - to investigate and explore relationships between different experimental responses through the provision of appropriate structures and technical support.
  • To enable the use of linear and/or non-linear statistical techniques specifically to identify the specific combinations of biomarkers/neuromarkers suitable for detecting pharmacological effects relevant to AD both in and across pre-clinical studies. Include models for symptomatic relief, modified disease progression as well as possible population stratification of drug effects. In particular, using appropriate methodologies, support the quantification of biomarker/neuromarkers responses to external challenges in studies both within and across species with a view to creating a translation paradigm for drug and does responses from animals to man. Investigate the use of this as a model for the preclinical testing of new compounds in humans.

WP Leads

Industry lead: Dr David Willie (GSK)

WP Partners

  • University of Foggia, Italy
  • GSK
  • Lilly
  • Janssen
  • AstraZeneca



Last Updated: Thursday 14 October 2010


  • Acknowledgements

    The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) for the Innovative Medicine Initiative under Grant Agreement No 115009.
  • Innovative Medicines Initiative
  • European Union
  • European Federation of Pharmaceutical Industries and Associations