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Did you know…?

… that from initial discovery in the laboratory it takes on average 12 years to make a medicine available to patients?

To make sure that a medicine is effective at fighting disease and safe to consume, pharmaceutical companies have to spend years rigorously testing it in clinical trials. Statisticians have a very important role to play in designing these trials and analysing the data collected to obtain the evidence needed to show the medicines work.

On this site you can explore how statisticians use their mathematical skills to improve patients’ quality of life and to save lives.

Introduction to Clinical Trials

Testing a medicine in clinical trials is a very long and expensive task, requiring pharmaceutical companies, doctors, hospitals, healthy volunteers, and real patients to work together. The video below, made by the European Federation of Pharmaceutical Industries and Associations (EFPIA), gives an insight into this journey.

Clinical Trial Quick Facts

  • Usually the first people to try out a new medicine are healthy volunteersHealthy volunteers are used to find the maximum dose the body can tolerate, then this is used in trials on patients.
  • In a ‘gold standard’ clinical trial neither the patient nor the doctor knows whether the drug being administered is the new experimental one or the control treatment. This is called double blinding.
  • Clinical trials tend to be global, enrolling patients from many countries around the world.
  • It costs over $2.5 billion in research and development costs to bring a drug to market to be prescribed to patients.

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EventsFuture Events

  • Webinar: MCP-Mod – Theory, Implementation and Extensions - Dates: 08 – 08 May, 2019

    MCP-Mod (Multiple Comparisons & Modelling) is a popular statistical methodology for model-based design and analysis of dose finding studies. This webinar will describe the theory behind MCP-Mod (plus extensions), and how to implement it within available software. Pantelis Vlachos (Cytel) will provide a brief introduction to the methodology and illustrate the MCP-MoD capabilities in EAST 6.5. Saswati Saha (University of Brehem) will discuss new variations and alternatives to MCP-Mod and show how to implement them in R. Neal Thomas (Pfizer) will present further technical details of MCP-Mod by evaluating the method using results from least squares linear model theory.
  • PSI Webinar: Statistical Engagement with Commercial Activities - Dates: 12 – 12 Mar, 2019


Principal Statistician