In the world of health care things are always changing. When you go to pick up your prescription or visit your doctor for treatment, you are relying on the work of researchers who are constantly determining new and better treatments and drugs, and testing the efficacy of those that already exist. Clinical trials that bring new drugs and therapies to the market usually involve hundreds of people and require many repeated experiments, but one Oregon State graduate student is learning how to use statistical analysis to make this process more efficient.
Joining us tonight on Inspiration Dissemination is Tim Skalland, PhD in Statistics. Tim is advised by Sarah Emerson and Paul Murtaugh in the College of Science, and he studies the design and analysis of experiments; specifically those used in the clinical trials which are required to bring new drugs and treatments to the market. Accurate statistical analysis and efficient experimental design are doubly important. By using statistical analysis during a series of experiments Tim aims to determine whether or not a drug or treatment is effective or promising. If the answer is no, then researchers can end clinical trials early, saving money and reducing costs to the health care system overall. On the other hand, Tim might also discover during the experimental process that the benefit of a drug or treatment is already obvious, and no further clinical trials are required. This allows helpful medicines and therapies to reach the pharmacy counter faster than if the trials proceeded in the traditional way.
Tim wasn’t always interested in statistics, or in medicine, but comes from a background in physics at William Jewell College, Missouri. Tim is also a fellow DJ here at KBVR and has produced his own dance music in California as DJ Timid. Join us tonight at 7pm at 88.7 KBVR Corvallis to learn more about Tim’s research, and to listen in as he treats us to a special set in the studio!