News
CSTAT papers on statistical consulting
The CSTAT team is proud to be involved in writing three papers on statistical and data science consulting centers:
“What matters to graduate students? Experiences at a statistical consulting center from pre-to post-COVID-19 pandemic”
“Developing partnerships for academic data science consulting and collaboration units”
“Tell your story: metrics of success for academic data science collaboration and consulting programs”
Congratulations! Sam Manski has been selected for the Community-Engaged Research Fellows program
CSTAT's Research Associate, Sam Manski, was selected to participate in the Fall 2024 cohort of community engaged scholars. Fellows will design a community engaged research (CER) project in partnership with community members and are paired with a senior MSU faculty mentor. Congratulations Sam!
Congratulations! Sam Manski receives Excellence in Teaching Award
The College of Natural Sciences awards Excellence-In-Teaching Citations to graduate teaching assistants who have distinguished themselves by the care they have given and the skill they have shown in meeting their classroom responsibilities. Sam Manski receives this award on Friday, Nov 17, for doing an excellent job during her graduate studies in the Department of Statistics and Probability. Congratulations Sam!
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