LISA Statistics Short Course: Designing Experiments
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Summer 2015 Schedule:
Wednesday, June 24: Designing Experiments;
Wednesday, July 1: Basics of R;
Wednesday, July 8: Generalized Linear Models (GLMs) and Categorical Data Analysis (CDA);
Wednesday, July 15: Graphics in R;
Wednesday, July 22: Multivariate Clustering in R;
Wednesday, July 29: Sample Size Calculations;
Wednesday, August 5: Using mixed effects models to quantify dependency among repeated measures;
Wednesday, June 24, 4:00-6:00 pm;
Location: Fralin Auditorium;
Instructor: Tom Metzger;
Title: Designing Experiments;
Well-designed experiments can help researchers of all disciplines obtain results that are informative, efficient, and easy to analyze. Open-source data sets (through Minitab) will be utilized to demonstrate several useful techniques, designs, and methods of analysis for use in a variety of subjects. Researchers and students from all departments and levels of statistical experience are welcome.
The Designing Experiments Short Course will focus on the following key topics:
1) Basics of observational studies and experiments: correlation, causation, and variation
2) Fundamental principles of experimental design: randomization, replication, and blocking
3) Common experimental designs and their analyses: one-way and two-way layouts, randomized block design, ANOVA, and split plot design
Follow us on Facebook (www.facebook.com/Statistical.collaboration) or Twitter (www.twitter.com/LISA_VT) to be the first to know about LISA events!