What is data analysis ?

It is the process of examining and interpreting data to uncover patterns, relationships, and insights that inform decisions and drive results.

Who this is for

  • Researchers and graduate students 

  • Pharmaceutical and Biotech Teams

  • Academic and Industry Collaborators

Service offered

  • Statistical analysis of experimental or clinical data
  • Data visualization and graphical representation
  • Advanced modeling and simulations (R, MATLAB, Python)
  • Interpretation of results for publications, grant proposals, or business decisions

  • Guidance on experimental design to optimize data quality

Expertise and tool

  • Data Interpretation: GraphPad Prism, R, MATLAB and SAS JAMP (statistical)
  • Data Visualization: GraphPad Prism (graphs); R (plots), MATLAB (figure); ChemDraw (chemical structures); Powerpoint and Adobe Illustrator (figure).
  • Modeling and Simulation: R (mixed models); MATLAB (prediction, simulation); Phoenix WinNonlin and NONMEM (PK/PD); MOE (SAR).

  • Experimental Design Support: G*Power (power analysis); R (simulation-based); SAS JMP (DOE support).

  • Behavioral Data Analysis: ANY-maze (cognitive and behavioral assay analysis); Noldus (tracking); MATLAB

  • Clinical Study Management and Analysis: REDCap, OpenClinica, SAS Clinical

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