Categorical Data Analysis. Independent (Explanatory) Variable is Categorical (Nominal or Ordinal) Dependent (Response) Variable is Categorical (Nominal or Ordinal) Special Cases: 2x2 (Each variable has 2 levels) Nominal/Nominal Nominal/Ordinal Ordinal/Ordinal. Contingency Tables.
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Source: Foltin, et al (2002)
95% Confidence Interval for Population Relative Risk:
Source: Bergstrom, et al (2004)
Entire CI above 1 Conclude higher risk if on TNFa
95% Confidence Interval for Population Odds Ratio
Source: Sivak-Sears, et al (2004)
Interval is entirely below 1, NSAID use appears to be lower among cases than controls
Estimated Absolute Risk:
95% Confidence Interval for Population Absolute Risk
Interval is entirely positive, TNFa is associated with higher risk
Source: Sperber, et al (2004)
Source: Brown and Pennello (2002)
Reject H0, conclude that the accuracy of assessments differs among age groups
Source: Hermansson, et al (2003)
When there’s no association between the ordinal variables, the population based values of these measures are 0. Statistical software packages provide these tests.