Abstract
In many experiment design and observational study settings the researcher is not interested in the omnibus tests of hypotheses for "main effects" or "interaction effects." When confronted with this situation, SAS™software provides an easy and convenient way to test the "testable" hypotheses of interest via the CONTRAST and ESTIMATE statements. This paper will demonstrate an easy way to construct interpretable and testable hypotheses.
| Original language | American English |
|---|---|
| State | Published - Oct 26 2009 |
| Event | Southeast SAS Users Group (SESUG) - Birmingham, AL Duration: Oct 26 2009 → … |
Conference
| Conference | Southeast SAS Users Group (SESUG) |
|---|---|
| Period | 10/26/09 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Disciplines
- Biostatistics
- Public Health
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