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Introduction to logistic regression a.k.a. Varbrul

Introduction to logistic regression a.k.a. Varbrul. Christopher Manning Ling 236, 2002. Logistic regression. Describes association of binary (or discrete) response variable with set of explanatory variables (often, but not necessarily discrete) Mean of binary response is probability

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Introduction to logistic regression a.k.a. Varbrul

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  1. Introduction to logistic regression a.k.a. Varbrul Christopher Manning Ling 236, 2002

  2. Logistic regression • Describes association of binary (or discrete) response variable with set of explanatory variables (often, but not necessarily discrete) • Mean of binary response is probability • So, probability is related to regression-like model • Interpretation of coefficients is in terms of odds • Model, estimation and inference differ from linear regression, but use in practice is similar

  3. GLMs: models for statistical analysis

  4. Risk measures • Odds • Odds ratio : ratio of odds (focus: risk indicator, covariate) • odds in target group / odds in control group [reference category]: ratio of favourable outcomes in target group over ratio in control group. The odds ratio measures the ‘belief’ in a given outcome in two different populations or under two different conditions. If the odds ratio is one, the two populations or conditions are similar.

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