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January 2019

Introduction to Stata

January 25, 2019 @ 9:30 am - 4:00 pm

Topics: By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system. Get data into Stata and manage your…

February 2019

Regression Modeling in Stata

February 1, 2019 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

In this session, we will discuss fitting traditional regression models in Stata, including linear regression, logistic regression, and time-allowing, poisson regression. We'll briefly introduce the theory behind the models, discuss…

Statistical Analysis with R

February 4, 2019 @ 8:30 am - 3:00 pm
|Recurring Event (See all)
Feb 4 & 5, 2019
Presenters: Chris Andrews is a statistical consultant at CSCAR and statistician in the UM Department of Ophthalmology and Visual Sciences. Formerly he was Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Region Biostatistics Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute.

This is a two day workshop (February 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many…

Data Visualization With 3D Graphics Using Unity3D

February 4, 2019 @ 1:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Video game development is more accessible than ever thanks to advanced software tools. Unity3D is one of the most popular game engines available, thanks to its ease of use, support…

Mixed Effects Modeling in Stata

February 8, 2019 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

We'll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering…