Walk-In Schedule

Red LogoStatistical Consulting Services (SCS) is pleased to announce our free walk-in and online services! We provide immediate, in person or round-the-clock web-based statistical support for quick questions about grant proposals, journal articles, PhD. Dissertations, M.S. Theses, and undergraduate research projects. The walk-in hours and online service are active during the semester, beginning Monday, January 22, 2018 and ending on Friday, May 4, 2018. Walk-in hours are held in Room 303 of the Philip E. Austin Building (AUST 303), and the online submission form is available at online submission.

It is available to all UConn undergraduate and graduate students, postdocs, research fellows, and faculty members. We have expertise in statistical software, study design, statistical methodology, data analysis and visualization, and reporting of results.

The walk-in hours, topic and software covered are as follows:

 


SCS Walk-In Service Hours

January 22–May 4, 2018
Spring 2018
Philip E. Austin (AUST) Building (Former CLAS)
Room 303

Weekday Time of Day Consultant Topics and Software covered
Monday 1:30pm—3:30pm Di Zheng Repeated Measurements, Design of Survey Questionnaire and Analysis of Survey Data, Missing Data, Multiple Imputation, Meta-Analysis. R, SAS, JUMP
Tuesday 11:00am–1:00pm Cheng Zhang Regression Analysis, Variable Selection, Survival Analysis, ANOVA, ANCOVA, HLM. R, SAS, MINITAB, SPSS, HLM
Wednesday 11:00am–1:00pm Chen Zhang Regression Analysis, Variable Selection, Data Visualization, 2-Sample t-Tests and Nonparametric Tests, Multiple Comparisons. R, MATLAB, Python, Minitab
1:30pm–3:30pm Shariq Mohammad Regression Analysis, Tests, Data Visualization, Bayesian Analysis, Mediation and Moderation Regressions, Analysis of Genomic Data. R, MATLAB
Thursday 10:00am—12:00pm Fan Zhang Power Calculation, G*Power, ANOVA, ANCOVA, MNOVA, MNCOVA, Regression Analysis, Structural Equation Modeling. R, SAS, AMOS
12:00pm—2:00pm Renjie Chen Regression Analysis, Analysis of Panel Data and Time Series Data, Multilevel Modeling, FDA, q-values. R, Matlab, Python, SAS, Mathematica
Friday 12:00pm–2:00pm Qi Qi Regression Analysis, ANOVA, ANCOVA, MNOVA, MNCOVA, Survival Analysis, Multistate Analysis, Multiplicity Adjustment. R, SAS, SPSS, Stata

*SCS is jointly funded by Office of the Vice President for Research (OVPR), Dean’s Offices of CLAS and CAHNR, and Department of Statistics, UCONN

**Additionally, we provide online and full consulting project services. For these, please visit http://stat.uconn.edu/consulting-info/

***Walk-in services are not available during Spring Break (March 12–16, 2018)