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.
The Associate Director of CSTAT works with the Director to manage CSTAT’s consulting services, infrastructure, personnel, stakeholder relations, and resources. We are looking for a highly motivated colleague with a Ph.D. in statistics or another quantitative field with experience in statistical consulting and research as well as managerial experience.
CSTAT is proud of its diverse team who enjoy working with researchers from many academic disciplines. We value curiosity to learn new skills and knowledge and a collegial environment where employees regularly share information, ideas, resources, and solutions to problems. CSTAT invests in employees by providing on-the-job training, mentoring, coaching as well as financial support for professional development.
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
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 firstname.lastname@example.org.
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
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.
CSTAT provides both statistical support and statistical training service. CSTAT statisticians are engaged in all phases of research projects including planning, data management, analysis, and reporting. You are being invited to participate in a web-based online survey about CSTAT. The objective is to gain a better understanding of your quantitative needs for your research projects, such as working with a statistician, data manager, graduate student, or obtain further training that CSTAT could provide.
Please check out the summary report of the 2021 Survey results.
We are excited to present a one day event with short presentations of multiple statistical topics. Join the Virtual Open House in the afternoon to meet the team and ask questions.