• Who we are

    We Design

    Bioassay validation procedures, biologic reference standards control , PK studies, Phase I-III study protocols and SAPs. Experienced in "Design of Experiments" and "Quality by Design" guidelines, FDA, USP and EMEA guidelines.

  • Who we are

    We ANALYSE

    Using the optimal statistical methodology, to maximize the information gained from the data. Experts in dose-time-response analysis, survival analysis techniques, classification trees, repeated measures analysis and analysis of highly multivariate data sets.

  • Who we are

    We INTERPRET

    The analysis must be interpreted to be of use. Experience is essential to draw the correct and most helpful conclusions. Quantics has a huge breadth of experience in statistical interpretation of data.

  • Who we are

    We COMMUNICATE

    The conclusions must be put into context, and presented so that they are clear and understood, phrased to answer the questions set at the start. Quantics will ensure that you understand what the analysis results really mean.

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We are a business based on fundamental principles of partnership, innovation and effective data insights.

Quantics has a unique mix of highly qualified and experienced statistical, scientific and medical staff. This ensures that not only do we understand the scientific or medical questions being asked, design the appropriate experiments and trials, and analyse the data using the optimal statistical techniques, but we can also interpret and communicate the results back to the client.

  • Established in 2002 by Ann Yellowlees PhD CStat, CSci
    - Previously  Head of Cancer Intelligence unit, Information and Statistics Division NHS Scotland and .
    - Head of statistics Shell research Sittingbourne
  • All statistical staff at Masters level statistics as a minimum
  • Medical Director with 20 years NHS acute sector Consultant experience

Our Presentations

Kelly Fleetwood

Better Bioassays: Using statistics to design, validate and understand bioassays

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Dr Ann Yellowlees

How to chose the best methods to study parallelism, using real bioassay data to model diferent possibilities and applications in the development of biologics

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