Our video tutorials can be found at the CSCAR YouTube channel:
Our NVivo workshop materials can be found here.
Materials from our Python regression analysis workshop.
Materials from our Python data management workshop.
CSCAR has developed a tool for performing randomizations in sequentially-enrolled trials.
More information about GIS at the University of Michigan can be found at this link: http://www.lib.umich.edu/
Midesktop provides access to several statistical software packages through your web browser.
The ITS Statistics and Computation Service provides Linux servers outfitted with up-to-date versions of HLM, Lisrel, R, SAS, and Stata. CSCAR consultants can advise clients on the use of these packages in a command-line environment. If you are having trouble accessing these machines see here.
Licensing and installation support for many technical software packages can be obtained from UM Information and Technology Services.
GIS and spatial statistics resources
The Clark Library’s Spatial and Numeric Data Services (SAND) assists the U-M community with spatial and numeric data. They help users locate, acquire, and convert spatial data, and support the use of GIS software on campus.
Questions about access, licensing, and installation of ESRI GIS products should be addressed to email@example.com.