News Medical

Researchers investigate COVID-19 data with logistic regression model training

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 ...
Nature

Risk-adjusted colorectal cancer screening using the FIT and routine screening data: development of a risk prediction model

The faecal immunochemical test (FIT) is replacing the guaiac faecal occult blood test in colorectal cancer screening. Increased uptake and FIT positivity will challenge colonoscopy services. We ...
JSTOR Daily

Logistic Regression, Categorical Predictors, and Goodness-of-Fit: It Depends on Who You Ask

The assessment of goodness-of-fit for logistic regression models using categorical predictors is made complicated by the fact that there are different ways of defining the saturated model. Three ...
JSTOR Daily

On the Consequences of Model Misspecification in Logistic Regression

This is a preview. Log in through your library . Abstract Logistic regression models are commonly used to study the association between a binary response variable and an exposure variable. Besides the ...