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<\/p>\nStatistical evaluation of data can be among the most worthwhile, although sometimes intimidating, processes of completing a research project.\u00a0 Herein are resources available to provide statistical support for projects.\u00a0 In no way are these resources a comprehensive review of statistical analysis.\u00a0 However, for many projects, the resources included will be sufficient to complete a simple statistical analysis.<\/p>\n
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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.\u00a0<\/strong><\/p>\n <\/p>\n Basic Statistic Calculator<\/strong> :\u00a0https:\/\/www.statskingdom.com\/basic-stats.html<\/a><\/p>\n Sample Size Calculator :\u00a0<\/strong>https:\/\/www.statskingdom.com\/sample_size_all.html<\/a><\/p>\n Regression Calculator<\/strong> :\u00a0https:\/\/www.statskingdom.com\/regression.html<\/a><\/p>\n Distribution and Probability Calculator :<\/strong>\u00a0https:\/\/www.statskingdom.com\/dist-stats.html<\/a><\/p>\n <\/p>\n Other Resources Available:<\/p>\n Introductory review article on medical statistics basics:<\/strong>\u00a0Basics of Biomedical Statistics<\/a><\/p>\n Free simple online statistical calculator:<\/strong>\u00a0https:\/\/www.graphpad.com\/quickcalcs\/<\/a><\/p>\n SPSS Guide :<\/strong>\u00a0https:\/\/services.dartmouth.edu\/TDClient\/1806\/Portal\/KB\/ArticleDet?ID=64628<\/a><\/p>\n STATA (commonly used statistical software) tutorial:<\/strong>\u00a0https:\/\/researchguides.dartmouth.edu\/statapp_koujue<\/a><\/p>\n National Library of Medicine Health Statistics educational course:<\/strong>\u00a0https:\/\/www.nlm.nih.gov\/nichsr\/stats_tutorial\/cover.html<\/a><\/p>\n National Vital Statistics Reports<\/strong> :\u00a0https:\/\/www.cdc.gov\/nchs\/products\/nvsr.htm<\/a><\/span><\/p>\n ______________________________________________________________________________________________<\/p>\n \n For assistance with organizing and visualizing research data, please visit Dartmouth\u2019s Research Data Services.\u00a0 https:\/\/researchguides.dartmouth.edu\/data_management\/organize-analyze<\/a><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Statistical evaluation of data can be among the most worthwhile, although sometimes intimidating, processes of completing a research project.\u00a0 Herein are resources available to provide statistical support for projects.\u00a0 In no way are these resources a comprehensive review of statistical analysis.\u00a0 However, for many projects, the resources included will be [\u2026] <\/p>\nStatistical Software Support<\/h3>\n
Dartmouth provides support for statistical software including Stata, SPSS, SAS, and R<\/strong> 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.\u00a0https:\/\/services.dartmouth.edu\/TDClient\/1806\/Portal\/KB\/ArticleDet?ID=64650<\/a><\/p>\n