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Logistic Regression with Misclassification in Binary Outcome Variables: Method and Software
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Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2017
Misclassification means the observed category is different from the underlying one and it is a form of measurement error in categorical data. The measurement error in continuous, especially normally distributed, data is well known and studied in the literature. But the misclassification in a binary outcome variable has not yet drawn much attention…
Descriptors: Classification, Regression (Statistics), Statistical Bias, Models