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Logistic Regression: Univariate and Multivariate

Logistic Regression: Univariate andMultivariate1 Events and Logistic RegressionILogisitic regression is used for modelling of an event: Mrs. Smith had a myocardialinfarction between 1/1/2000 and 31/12 occurrence of an event is a binary (dichotomous)variable. There are two possibilities: the event occurs or itdoes not this reason, event occurrence variables can always becoded with 0, 1 personibecame pregnant in personidid not become pregnant in the Probability of an EventIThere are many equivalent ways of measuring theprobability of an will use three:1probability of the event2odds in favour of the event3log-odds in favour of the eventIThese are equivalent in the sense that if you know thevalue of one measure for an event you can compute thevalue of the other two measures for the same a distance in kilometres, statute miles ornautical miles3 The Probability of an EventIThis is a number between 0 and 1.

interpretation in univariate regression. I We dealt with 0 previously. I In general the coefficient k (corresponding to the variable X k) can be interpreted as follows: k is the additive change in the log-odds in favour of Y = 1 when X k increases by 1 unit, while the …

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