Background Classification using class-imbalanced data is biased in favor of the majority class.
The bias is even larger for high-dimensional data, where the number of variables greatly …

Background The goal of class prediction studies is to develop rules to accurately predict the
class membership of new samples. The rules are derived using the values of the variables …

Firth's logistic regression has become a standard approach for the analysis of binary
outcomes with small samples. Whereas it reduces the bias in maximum likelihood estimates of …

Background. Information on the course and outcome of early European Lyme neuroborreliosis
is limited. Methods. The study comprised 77 patients (38 males, 39 females; median age, …

Synthetic Minority Oversampling TEchnique (SMOTE) is a popular oversampling method that
was proposed to improve random oversampling but its behavior on high-dimensional data …

Background Prediction models are used in clinical research to develop rules that can be
used to accurately predict the outcome of the patients based on some of their characteristics. …

Purpose Aerobic training accelerates Heart Rate Recovery after exercise in healthy subjects
and in patients with coronary disease. As shown by pharmacological autonomic blockade, …

Neoadjuvant chemotherapy has been shown to be equivalent to post-operative treatment
for breast cancer, and allows for assessment of chemotherapy response. In a pilot trial of …

Background Gene expression microarray studies for several types of cancer have been
reported to identify previously unknown subtypes of tumors. For breast cancer, a molecular …

Purpose: Currently available clinicopathologic prognostic factors are imperfect predictors of
clinical course in advanced-stage epithelial ovarian cancer patients. New molecular …