Rheum4Science - Data & Distribution
The creation of the Rheum4Science program grew out of the conviction that teaching science is important for rheumatologists in training and that adult learners benefit from a variety of resources and formats. Rheum4Science will enable the learner to:
- Examine the underlying biology and clinical research methodology necessary for the knowledgeable practice of rheumatology.
- Understand the immunology elements and mechanisms integral to the pathophysiology of rheumatic diseases and drug mechanisms of action.
- Apply an understanding of clinical research methods to interpret primary literature in rheumatology and patient care scenarios.
Rheumatology fellows in
training, medical students, residents, practicing rheumatologists, and other
rheumatology health care providers interested in strengthening their
understanding of basic scientific principles and clinical research methodology
relevant to the field of rheumatology.
Upon completion of this activity, participants should be able to do the following:
- Differentiate types of variables (Continuous, Ordinal, Nominal, Binary, Categorical)
- Recognize various data distributions
- Select the best measures of central tendency and dispersion for reporting common data distributions
- Interpret measures of central tendency and dispersion
This activity is complimentary.