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LISA becomes SAIG

Looking for LISA? You are in the right place. LISA, the Laboratory for Interdisciplinary Statistical Analysis will transition to SAIG (pronounced “sage”) on July 1, 2017. SAIG stands for the Statistical Applications & Innovations Group. SAIG will continue to offer the same valued collaborative research support services for University faculty and graduate students during the 2017-2018 academic year. These include:

  • Walkin Hours*
  • Short* & Long Term Collaboration
  • Short Courses*

Denotes free services to Virginia Tech faculty and graduate students from participating Colleges.

How can we help you?

Sound Design.  Whether you are working on social  science or rocket science, we can create the study or experimental design to achieve your research objectives. We can maximize information given your resources with sound design.

Appropriate Analytics.  How do I demonstrate statistical significance? What do I do with my non-normal data?  Logistic regression or tree model? Text mining? Bayesian or frequentist? We can sort these issues out by collaborating on appropriate analytics.

Intelligent Interpretation. So, you have statistical results and you are ready to publish or report to your sponsor. You ask: What is the proper way to communicate my conclusions? What visuals support my data analysis? We’ve got your back with intelligent interpretation.

Growth. Onward and upward with SAIG. Sound statistical design, appropriate analytics, and intelligent interpretation are key elements in producing your best proposals and publications. Partner with SAIG and the sky is the limit on your research growth.

 

Be sage.

Contact SAIG.

 

Policies

Request a Collaboration

Walk-in Schedule

 

Areas of Expertise:

  • Grant Proposals
  • Experimental Design
  • Multivariate Methods
  • Biostatistics
  • Time Series
  • Bayesian Statistics
  • Quality Control
  • Response Surface Models
  • Publication Preparation
  • Statistical Software: (R, SAS, JMP, MINITAB, etc.)
  • And many more...

Email: statistics@vt.edu