Transcription of Conditional Logistic Regression - NCSS
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Conditional Logistic Regression - NCSS
NCSS Statistical Software 564-1 NCSS, LLC. All Rights Reserved. Chapter 564 Conditional Logistic Regression Introduction Logistic Regression analysis studies the association between a binary dependent variable and a set of independent (explanatory) variables using a logit model (see Logistic Regression ). Conditional Logistic Regression (CLR) is a specialized type of Logistic Regression usually employed when case subjects with a particular condition or attribute are each matched with n control subjects without the condition. In general, there may be 1 to m cases matched with 1 to n controls.
moderate sample sizes, the normal approximation is described as ‘adequate’ at best . The Wald test is used in NCSS to test the statistical significance of individual regression coefficients. Confidence Intervals Confidence intervals for the regression coefficients are based on the Wald statistics. The formula for the limits of
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