Introduction to Biostatistics: Collecting and Summarizing Data
Sooner or later, we all need to deal with data. Whether you are part of a team developing and analyzing a clinical trial, work on site monitoring, part of a product development team, or managing manufacturing systems, understanding and presenting data is a critically important skill. While all of this sounds good in theory, if you have limited experience with statistics you are left asking the question “where do I start?”
This interactive, 120-minute session will give you the tools to interpret data, detect errors, and help you organize your data in an easy to understand format. This course will give you a foundation in biostatistics by detailing numerical summaries like mean, median, mode, variance, standard deviation, range, interquartile range (IQR), and coefficient of variation (CV). You will learn the best ways to summarize data in graphical and numeric forms. Additionally, you will develop the necessary skills to employ graphics to summarize data including histograms, boxplots, bar graphs, etc. Finally, you will learn to use the most appropriate statistical summary based on properties of your data. Course content will be presented with pertinent examples including valid conclusions.
Come to the 120-minute presentation and you will be able to:
- Develop a foundational understanding of statistical principles
- Use software to create graphs and numerical summaries of data (we will be using the free, open-source rcommander software)
- Understand which types of summarizations should be used for a given situation
- Understand how to interpret data and data summarizations
- Identify what to look for to identify a suspect data summarization
This course is ideal for life science personnel who need a foundational understanding of biostatistics to address every day responsibilities, and is ideal for new hires or those who need a refresher. Those in a clinical trials setting will find this course especially useful, although it is of benefit to all staff with upstream/downstream development responsibilities as well.
Robert Parody, PhD, is an Associate Professor in the Center for Quality and Applied Statistics at Rochester Institute of Technology. He has over 15 years experience working as a statistician improving processes and products. He has extensive experience in the pharmaceutical and medical device industries.
Dr. Parody is well versed in analyzing data, leading teams and mentoring persons in the use of statistical tools. He is especially skilled at utilizing statistics, including experimental design, sample size determination and statistical modeling techniques to develop and improve processes. He has created and delivered courses including online and industry seminars to all types of participants, especially busy professionals and adult learners.
Dr. Parody received his BS in Chemical Engineering from Clarkson University, his MS in Applied Statistics from Rochester Institute of Technology, and his PhD in Statistics from the University of South Carolina. He is a member of the Association of Clinical Research Professionals (ACRP) and the International Society of Pharmaceutical Engineers (ISPE).
Dr. Parody’s areas of expertise and interest include experimental design, quality risk management, pharmaceutical quality by design (QbD) and continuous improvement.