Logistic Regression Analysis

  • Erling B. Andersen


In chapter 8 the connection to log-linear models for contingency tables was stressed. The direct connection to regression analysis for continuous response variables will now be brought more clearly into focus. Assume as before that the response variable is binary and that it is observed together with p explanatory variables. For n cases the data will then consist of n vectors
$$\left( {{y_V},{z_{1V}}, \ldots ,{z_{pV}}} \right),v = 1, \ldots ,n$$
of jointly observed values of the response variable and the explanatory variables.


Explanatory Variable Logistic Regression Model Logistic Regression Response Variable Standardize Residual 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin · Heidelberg 1994

Authors and Affiliations

  • Erling B. Andersen
    • 1
  1. 1.Department of StatisticsUniversity of CopenhagenCopenhagen KDenmark

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