Objectives: The categorical data analysis is very important in statistics and medical sciences. When the binary response variable is misclassified, the results of fitting the model will be biased in estimating adjusted odds ratios.  The present study aimed to use a method to detect and correct misclassification error in the response variable of Type 2 Diabetes Mellitus (T2DM), applying binary ...

In this letter, we consider the problem of field estimation using binary measurements. Previous work has formulated as a parameter problem, with carried out in an online manner sequential Monte Carlo techniques. current work, alternative approach to based on logistic regression. The developed algorithm is less computationally intensive than approach, while having more reliable performance.

Logistic regression is a commonly used classification algorithm in machine learning. It allows categorizing data into discrete classes by learning the relationship from given set of labeled data. learns linear dataset and then introduces nonlinearity through an activation function to determine hyperplane that separates points two subclasses. In case logistic regression, most perform binary clas...