FACTS is hosting a 4-day workshop that will address biostatistics commonly used in health sciences using R, a free system for statistical computation. Course participants will learn step-by-step procedures to use R and the codes to conduct specific statistical analyses. Basic interpretation of results will be discussed, though this will not be emphasized. One full day will be spent on graphics to ensure participants can properly present results. The course is designed for beginners; however, a basic understanding of statistics is required to adequately grasp the concepts that will be discussed.
Following an introduction to R as a language and an environment, the statistical analyses that will be covered include: descriptive statistics, hypothesis testing (i.e. Student’s t-tests, chi-squared tests, ANOVA, etc.), linear and logistic regression, discriminant function analysis and principal component analysis.
For an additional cost of $150, an optional session is available on Friday June 20th for 10 participants on a first come, first serve basis. You can bring your own data set and conduct your own statistical analyses and the Instructors will be there to interpret code and offer advice.
Tuition: $600/person (includes a daily lunch) or $750/person (includes lunch and additional day)
Reserve a Spot: Space is limited. You may save a spot with a $100 deposit. Full payment of tuition (cash, check, or credit card) is required by May 16, 2014.
Cancellation: A 10% administrative fee per registrant will be deducted for cancellation. Refund requests must be received in writing two weeks prior to workshop. No refunds will be made thereafter.
Audience: This workshop is geared towards advanced undergraduate students, graduate students and professionals who are interested in performing their own statistical analyses with a free program that has open-ended functionality.
Dates: June 16 – 19, 2014 (8:30 a.m. to 4:30 p.m. daily); June 20, 2014 (8:30 a.m. to 4:30 p.m.)
Location: Freeman Ranch Multipurpose Educational Facility, Texas State University, San Marcos, TX
Requirements: Personal laptop
Kyra Stull, PhD
Kyra Stull obtained her MS in Biological and Forensic Anthropology at Mercyhurst University in 2008. She continued on to obtain her PhD in Anthropology at the University of Pretoria, South Africa in 2013. Kyra is a biological anthropologist with specific interest in human growth and development and modern human variation and its application to forensic anthropology. Since her first experience with R in 2008, she has routinely used R to conduct statistical analyses in forensic anthropology and forensic pathology research. During the course of her doctoral studies she advised numerous postgraduate students in research design and methodology, taught informal courses in biostatistics and a week-long intensive R workshop for applied biostatistics.
Michael Kenyhercz, MS, ABD:
Michael is a biological anthropologist with a focus on modern human variation and biostatistics. He graduated from The Ohio State University with a BA in Anthropology and minor in Forensic Science in 2008. He went on to complete his MS in Biological and Forensic Anthropology at Mercyhurst University in 2010 before researching full-time on two National Institute of Justice grants. He is currently finishing his PhD in Biological anthropology at the University of Alaska Fairbanks where he is examining modern human variation in U.S. population groups through molar morphometrics.
Glenn Eanes is currently a post-production sound engineer. He has a strong technical background that allows him to bridge the gap between R as a software program and its applications to applied biostatistics. He worked for approximately eight years in the tech industry with varied responsibilities that included resolving both hardware and software issues, implementing new technologies, working with in-house developers to eliminate software bugs and testing hardware configurations. He has also developed custom test and device configuration scripts.