Statistical evaluation of data can be among the most worthwhile, although sometimes intimidating, processes of completing a research project. Herein are resources available to provide statistical support for projects. In no way are these resources a comprehensive review of statistical analysis. However, for many projects, the resources included will be sufficient to complete a simple statistical analysis.
The best resource for Geisel students looking for help with data analysis may be to partner with fellow Geisel students enrolled in a data science masters program who are often looking to engage on clinical projects. If the proposed project requires quantitative skills support, there may be masters students from the Geisel programs in Epidemiology, Health Data Science, and Medical Informatics available. These students present skills including biostatistics, bioinformatics/programming, and data visualization. Please email Dr. Monica Espinoza (Curriculum Director of the MS Health Sciences Programs) at monica.e.espinoza@dartmouth.edu for more information and include a project description plus timeline in your email.
Basic Statistic Calculator : https://www.statskingdom.com/basic-stats.html
Sample Size Calculator : https://www.statskingdom.com/sample_size_all.html
Regression Calculator : https://www.statskingdom.com/regression.html
Distribution and Probability Calculator : https://www.statskingdom.com/dist-stats.html
Other Resources Available:
Introductory review article on medical statistics basics: Basics of Biomedical Statistics
Free simple online statistical calculator: https://www.graphpad.com/quickcalcs/
SPSS Guide : https://services.dartmouth.edu/TDClient/1806/Portal/KB/ArticleDet?ID=64628
STATA (commonly used statistical software) tutorial: https://researchguides.dartmouth.edu/statapp_koujue
National Library of Medicine Health Statistics educational course: https://www.nlm.nih.gov/nichsr/stats_tutorial/cover.html
National Vital Statistics Reports : https://www.cdc.gov/nchs/products/nvsr.htm
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Statistical Software Support
Dartmouth provides support for statistical software including Stata, SPSS, SAS, and R across UNIX, Windows, and Macintosh platforms. Assistance includes installation, basic programming, coding help, choosing analyses, and transferring data between applications or platforms. Some software is available on Research Computing UNIX hosts (account required), while others can be installed on desktops via the IT web page. https://services.dartmouth.edu/TDClient/1806/Portal/KB/ArticleDet?ID=64650
For assistance with organizing and visualizing research data, please visit Dartmouth’s Research Data Services. https://researchguides.dartmouth.edu/data_management/organize-analyze