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DATA ANALYSIS

  • Proficient in use of statistical software including SAS®, GraphPad®, SPSS® and GenStat®.
  • Development and application of industry standard and novel univariate and multivariate statistical techniques to bioassay data.
  •  LD50 and similar endpoint analyses using Probit and Reed Muench Methods.
  • Linear and non-linear modeling and curve analyses.
  • Data base quality review and meta-analyses.
  • Social Epidemiology and psychological data analyses.

Data Analysis

Analysis of observational data.  Immunogenecity testing of biopharmaceuticals.  Novel biomaker assays.  Advanced survival modeling.  Qualitative and multivariate data analyses for sensory and psychological sciences.