Definitions
As you're getting started, these descriptions may be helpful.
Data:
- "Raw" numbers
- Counts of individual events or services
- Collected at local, state, national or international level
Data set:
- Data collected and arranged logically according to previously defined criteria
- Major unit of data storage and retrieval
- May or may not represent the entire population
Statistics:
- Data already analyzed/summarized
- Often presented as text, figures, graphs or maps
Additional Statistical Terms:
- Internet Glossary of Statistical TermsFree but requires flash; this is not an endorsement of the class.
Secondary Data Analysis
Once you've found your datasets, consult this introductory guide to get started with your secondary analysis.
- Introductory Guide to Secondary Dataset Analysis An introductory guide to conducting high-value secondary dataset analysis with links to resources. Source: Smith, et al., "Conducting high-value secondary dataset analysis: An introductory guide and resources", Journal of General Internal Medicine, 26(8):920-9, August 2011
National Library of Medicine Health Statistics course
Interested in learning more about how to find and use health statistics? The National Library of Medicine provides a free comprehensive online course.
- NLM Health Statistics Course A course divided into two parts (1) About Health Statistics describes sources and how they are created and (2) Finding Health Statistics presents search strategies. Emphasizes four areas of health statistics: Conditions (diseases), Care, Consequences (of health conditions, such as unemployment), and Correlates (determinants of health). Source: National Library of Medicine
Getting help with Statistics: Dartmouth College
Looking for help with statistical software and analysis on the Dartmouth Campus?
Email Jianjun Hua: Jianjun.Hua@dartmouth.edu