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Statistical Resources in Medicine and Healthcare: Statistical Analysis and Data Management Software
Provides the Einstein community with an organized access to a selection of print and electronic statistical resources.
If you have any questions about any of the resources in this guide, or any questions regarding your research, please contact the Reference Department at 718.430.3104 or firstname.lastname@example.org
Find Resources for Data Analysis
Informatics software used for statistical analysis, such as SPSS, Mathematica, and GraphPad Prism etc. must be requested from the IT department. Users submit your request to the IT department at https://itsupport.einstein.yu.edu/. After logging in with your active directory login, click on "Need help?" and submit your request.These resources are not purchased or supported by the library.
Commercial scientific 2D graphing and statistics software. For more information visit http://graphpad.com/apps/index.cfm/register/subscription/ID/5391/subscription/XLQPYCJM and complete the registration form.
The medical school has a campus-wide license for teaching and academic research purposes. Submit a ticket to ITSupport, https://itsuport.einstein.yu.edu for help.
A combination of biostatistics, curve fitting (nonlinear regression) and scientific graphing in one comprehensive program. Easily organize, analyze and graph repeated experiments pick appropriate statistical tests and interpret the results.
A high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation.
Staff and Faculty requesting access, contact Help Desk at 212-960-5294. Laboratory and classroom installations, please contact Academic Computing on your campus. For home use, users must submit a request to Wolfram Research via email (email@example.com) to request a copy of Mathematica.
Statistical analysis, data management, case selection, file reshaping, creating derived data, and data documentation are among many features of the base software, which includes descriptive statistics; bivariate statistics; prediction for numerical outcomes: prediction for identifying groups; and numerous other features. For further information about this package please visit http://www.spss.com/
Staff and Faculty, please contact Help Desk (8:00am-6:00pm) at 212-960-5294. Laboratory and classroom installations, please contact Academic Computing on your campus.