In matched case-control studies, conditional logistic regression is used ... are 63 observations in the data set, one for each matched pair. The variable Outcome has a constant value of 0. proc ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

of logistic regression analysis for multi-dimensional data in a data cube where it is expensive in time and space to build logistic regression models for each cell from the raw data. We propose a ...

He thus concluded that pair matched analysis is not required unless cases ... attempt to address is whether a matched case–control data need to be analyzed by conditional logistic regression model.

The possibility of applying the logistic regression model for fitting the kinetic conversion data of cellulose pyrolysis has been presented. It has been obtained that the pyrolysis conversion curves ...

Traditional logistic regression analysis is widely used in the binary classification problem, but it has many iterations and it takes a long time to train large amounts of data, which is not ...

The initial export of raw Global Initiative on Sharing Avian Influenza Data (GISAID ... were compared to the logistic regression model, 3,386 samples were used for the analysis and 2,694 of ...