Design of Experiments for Generalized Linear Models

August, 2022
IDA document: D-33208
FFRDC: Systems and Analyses Center
Type: Documents
Division: Operational Evaluation Division
Authors:
Authors
Rebecca M. Medlin, Curtis G. Miller, Addison D. Adams See more authors
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This presentation discusses how researchers should design experiments when the outcome of interest consists of either success or failure. This involves exploring designs of experiments when the intended analysis involves estimation of a generalized linear model (in this case, logistic regression). Tools were developed to generate and evaluate these designs.