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 ...

The majority of epidemiological studies are exercises in measurement; i.e., we try to estimate as accurately as we can some potential (possibly causal) association between an exposure and an outcome.

arising from F. Yang et al. Nature Machine Intelligence https://doi.org/10.1038/s42256-022-00534-z (2022) We demonstrate that a simple logistic regression baseline ...

The fundamental technique has been studied for decades, thus creating a huge amount of information and alternate variations that make it hard to tell what is key vs. non-essential information.

Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...