Regression · Adjustment
Introducing Multivariable Logistic Regression
How does one model relate a binary outcome to several explanatory variables?
Page 1 of 7 · Big Picture
The big picture: Introducing Multivariable Logistic Regression
How does one model relate a binary outcome to several explanatory variables?
Why a policy analyst should care
A multivariable logistic model represents an analytical argument about a binary outcome, so covariates and functional forms must follow the question and causal reasoning.
Follow the idea from the opening question to a practical decision. These are the conceptual moves this module will develop:
1 Question What changes when a model includes several predictors?
2 Explore Build two otherwise identical profiles
3 Formalize One outcome, several terms
4 Transfer Defend the variables in a health-policy model
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