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.
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
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