The authors propose a robust bounded-influence estimator for binary regression with continuous outcomes, an alternative to logistic regression when the investigator's interest focuses on the ...
The beta-binomial distribution is extended to allow negative correlations among binary variates within an experimental unit. Regression models are proposed for both the binary variate response rate ...
Build a binary classifier using logistic regression to classify data into two classes. Linear Regression: It predicts continuous values. The output is a continuous value from any range (positive or ...
"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...
Background: Arthritis is the most disabling disease worldwide, and the presence of the disease usually greatly threatens the patient’s activities of daily living (ADL). Currently, there are a few ...
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