Each ear was randomly assigned to the training set or validation set (98 and 64, respectively). Diagnostic models for MD were developed using logistic regression in the training cohort.

Objectives This study aimed to investigate the characteristics and management of influenza-like illnesses (ILIs) in the outpatient and inpatient settings in Vietnam. Design A cross-sectional, ...

Objective To examine trends in Chuna manual therapy utilisation for musculoskeletal disorders (MSDs) following its inclusion in the National Health Insurance (NHI) system in Korea in 2019 using claims ...

The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Novel nomogram models predict early neurological deterioration and 90-day outcomes in AIS patients treated with IV ...

Thomas Rusch, Ilro Lee, Kurt Hornik, Wolfgang Jank, Achim Zeileis, INFLUENCING ELECTIONS WITH STATISTICS: TARGETING VOTERS WITH LOGISTIC REGRESSION TREES, The Annals of Applied Statistics, Vol. 7, No.