Attention graduate students: CSTAT is inviting research assistant (RA) applications and will be interviewing applicants for Summer 2024 and Fall 2024 with possible continuation into future semesters. This is an excellent opportunity to get experience with applying statistical methods to interesting research topics, developing consulting skills, learning from experienced mentors, and expanding your professional network.
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!
"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! 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.
"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 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.
New and returning graduate students found out about CSTAT activities and had a chance to interact with CSTAT Directors.
This is a joint appointment between CSTAT and the College of Veterinary Medicine who seek to expand the clinical trials program. Candidates must have a Ph.D. in Statistics, Biostatistics, or a quantitative field. Several research topics are of interest, for example study design for clinical trials, trial data analysis, or genomic/genetic and proteomics data science related areas. The successful candidate will collaborate with the College of Veterinary Medicine faculty on clinical trials, grant proposals, and publications; apply statistical, computational, and scientific expertise to the design, implementation, research data management and analysis, interpretation, and reporting across a range of research studies; participate in developing or delivering CSTAT workshops to the general University audience.
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 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