This asynchronous distance education course is designed to provide non-statisticians with practical information needed to apply basic statistical tests to problems typically faced in pharmaceutical industry. Emphasis will be placed on the most commonly utilized statistical tests, including:
- analysis of variance and post hoc procedures
- measures of repeatability and reproducibility
- chi square and related tests
- linear regression
- major nonparametric procedures
- outlier tests
The course focuses on the efficient utilization of statistics; not abstract theory. Practical examples drawn from scientific research will be used to illustrate statistical concepts. Emphasis will be placed on the appropriate use of statistics and the interpretation of their results and presents an overview of basic elements associated with statistical tests and their practical application. Numerous examples using Excel will be presented throughout the program.
Goals and Objectives (each lecture will have its own set of learning objectives):
Upon completion of the program the learner will be able to:
- Define statistical terms commonly encountered in the literature;
- List the various graphic and numeric methods for presenting descriptive statistics;
- Describe various distributions, practical applications of probability, and the measures of central tendency;
- Explain the use of hypothesis testing, significance testing, and sampling procedures;evaluate example problems to identify the type of variables involved and the most appropriate statistical test(s) to use;
- Interpret statistical output from computer generated results and evaluate the relative importance of those outcomes; and
- Use Excel to evaluate pharmaceutical data.
Who Should Attend
This asynchronous distance education course is designed to provide non-statisticians with practical information needed to apply basic statistical tests to problems typically faced in pharmaceutical industry.
- Junior scientists who do not have a biostats background
- Lab based staff who perform routine biostats analyses
- Anyone who would like a refresher on basic inferential statistics
Computer with speakers and internet.
James E. De Muth, PhD, RPh
School of Pharmacy, University of Wisconsin-Madison