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Understanding the Fundamentals of Epidemiology an evolving text

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(normal) distribution in <strong>the</strong> population. O<strong>the</strong>r assumptions are those made about reality. For<br />

example, what if a person responds to <strong>the</strong> question on race by circling 3 responses, Black, Hisp<strong>an</strong>ic,<br />

<strong>an</strong>d White. There is a study protocol to classify such <strong>an</strong> individual; however, this protocol may<br />

differ from o<strong>the</strong>r similar studies or <strong>the</strong> U.S. Census, or state birth certificates, etc. This may have <strong>an</strong><br />

impact on <strong>the</strong> expected distribution <strong>an</strong>d /or interpretation.<br />

3.9 Examination <strong>of</strong> study questions<br />

Data <strong>an</strong>alyses may be approached in <strong>an</strong> exploratory fashion or in pursuit <strong>of</strong> <strong>an</strong>swers to<br />

specific questions. Ideally <strong>the</strong> latter should have been specified in <strong>the</strong> research proposal or well<br />

before <strong>the</strong> <strong>an</strong>alysis process has begun. Often new questions (or all questions) are formulated during<br />

<strong>the</strong> <strong>an</strong>alysis process. In ei<strong>the</strong>r case, it is highly desirable to articulate specific questions as a guide to<br />

how to proceed in <strong>the</strong> data <strong>an</strong>alysis.<br />

Besides <strong>the</strong>ir relev<strong>an</strong>ce to <strong>the</strong> questions at h<strong>an</strong>d, <strong>an</strong>alyses generally need to reflect <strong>the</strong> study<br />

design. For example, cross-sectional designs do not provide direct estimates <strong>of</strong> incidence, matched<br />

designs may warr<strong>an</strong>t matched <strong>an</strong>alyses.<br />

_____________________________________________________________________________________________<br />

www.sph.unc.edu/EPID168/ © Victor J. Schoenbach 16. Data m<strong>an</strong>agement <strong>an</strong>d data <strong>an</strong>alysis - 546<br />

rev. 9/27/1999, 10/22/1999, 10/28/1999

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