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 ...
1. Resource selection functions (RSFs) are becoming a dominant tool in habitat selection studies.RSF coefficients can be estimated with unconditional (standard) and conditional logistic regressions.
As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...
Most automated essay scoring programs use a linear regression model to predict an essay score from several essay features. This article applied a cumulative logit model instead of the linear ...
A total of 920 adults with OSA (879 with normal thyroid and 41 with hypothyroidism) underwent nocturnal sleep monitoring, thyroid function testing, and routine blood work. Logistic regression analysis ...
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