Center for Statistical Training and Consulting
Schedule a meetingWelcome to CSTAT
The MSU Center for Statistical Training and Consulting (CSTAT) is a professional service and research unit at Michigan State University. We collaborate on research projects and provide statistical support and services to MSU affiliated faculty, staff, and graduate students, and off-campus clients.
Sports analytics: quantile foliation to rank athletes
Quantile foliation is a new statistical method that we can be used to standardize weightlifting performances by age and body weight.
Motivation, barriers, coping of older athletes: Weightlifting during the COVID19 Pandemic
Motivation, barriers, and coping during COVID19 for Master weightlifters: Older athletes are motivated to maintain fitness, build strength and confidence, and compete.
Age and Sex Differences in Depressive Symptoms
The Survey of Health, Aging, and Retirement in Europe (SHARE) is a longitudinal study with health, lifestyle, and socioeconomic data from individuals ages 50 and older in European countries. We develop a multi-variable prediction model for clinically significant depression assessed by the 12-item Europe depression scale (Euro-D) and study age-associated patterns for men and women across four European regions.
Featured:
Initial Data AnalysisInitial data analysis is highly relevant before engaging in statistical modeling to inform about a potential impact on the analysis plan.