News
CSTAT helps with new statistical model for scaling weightlifting performance
"Weightlifters, coaches, National Federations and, most significantly, competition organisers can take advantage of a new all-weights scoring method that has been devised by scientists and statisticians." The working group consisted of academics, athletes, coaches and National Federation officials led by Dr. Huebner, director of CSTAT. https://www.insidethegames.biz/articles/1140309/weightlifting-q-points-method
The CSTAT Team welcomes you!
The CSTAT Team welcomes you! Please contact us for help (https://app.cstat.msu.edu/) with study design, statistical methods, data analysis, data management, data visualization, grant proposal development, and more. Our team consists of the director, 5 full-time PhD statisticians, 1 MS data manager, 4 graduate students, and administrative staff.
CSTAT participates in Data Science Consulting Collaborative Workshops
"Models for Sustainable and Inclusive Data Science Consulting and Collaboration in Higher Education" is funded by the Alfred P. Sloan Foundation. CSTAT Director Marianne Huebner participants together with leaders from 25 universities.
Dr. Frank Lawrence celebrates 10 years at CSTAT
Dr. Frank Lawrence joined MSU and CSTAT in September 2012. He supports researchers in the College of Education and collaborates across different disciplines including epidemiology, psychology, media, communication disorder. He contributes his extensive knowledge in structural equation models, complex surveys and randomized trials to research studies.
CSTAT Directors meet with students at The Graduate School Resource Fair
New and returning graduate students found out about CSTAT activities and had a chance to interact with CSTAT Directors.
Research for women in weightlifting
Dr. Marianne Huebner leads an international research project to study menopause, osteoarthritis, protein intake in women weightlifters, ages 30 and up. This is supported by the International Weightlifting Federation Master Committee, USA Weightlifting, Canada Masters Weightlfiting Federation, and many other national organizations.
Open Science Webinar Series
Open Science is the transparent and accessible knowledge that is shared and developed through collaborative networks. Open Science practices encompass open source, open access, open data, open code, open peer review, pre-registration. Advantages are to improve reproducibility of research, better reporting, and the potential of answering more complex questions. Disadvantages are publication costs and lower quality articles. Learning how to prepare open data, to document open material, to pre-register studies, to follow reporting guidelines can be time consuming, but it is necessary to develop such Open Science skills for high impact research. Please register (free) for these webinars: https://cstat.msu.edu/events
CSTAT Recruiting for Research Assistant Positions (Summer 2022 and/or Fall 2022)
Attention graduate students: The Center for Statistical Training and Consulting (CSTAT, http://cstat.msu.edu) will be interviewing applicants for Summer 2022 and Fall 2022 Research Assistant (RA) positions, with possible continuation into future semesters depending on performance, staffing needs, and available funding. These RA positions are an excellent opportunity for students to get experience doing applied statistics, developing consulting skills, and engaging in multidisciplinary research. Doctoral students with strong quantitative methods, statistics, and research design skills are invited to apply by January 21, 2022 by sending a cover letter, resume/CV, and a completed copy of the application form to cstatinf@msu.edu.
How did the pandemic affect weightlifters? CSTAT paper in the news
CSTAT researchers conducted an international survey across3 continents in June 2021 to ask about motivation, barriers, and coping of older athletes during the COVID Pandemic. Here is a discussion in a blog with infoviz: https://evidencestrong.com/how-did-pandemic-affect-Olympic-weightlifters?fbclid=IwAR1hgQMu1Ibj0KV06_3gOn5C_Q0d67Lm4t3ykXg7iL7twZldTsrY-6Zlx98
CSTAT hosts 2021 Virtual STRATOS Conference
The STRATOS Initiative (STRengthening Analytical Thinking for Observational Studies, https://stratos-initiative.org/) is an international collaboration of over 100 experts in many different areas of biostatistical and biomedical research. A virtual conference was hosted by CSTAT on November 2, 2021, by Dr. Marianne Huebner, director of CSTAT, who is also a co-chair of this organization. Discussions were about developing evidence-supported guidance for statistical issues of practical importance in clinical research through expert consensus. Progress reports of exciting projects covering study design, missing data methods, initial data analysis, variable selection, evaluation of prognostic models, survival analysis, measurement error, causal inference, and high dimensional data analysis were presented.