technologynetworks

Logistic Regression

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 ...
University of Bristol

Introduction to Linear and Logistic Regression Models

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
ascopubs.org

Association of 8-gene signature with early recurrence in resected non-small cell lung cancer.

Genomic and immunophenotypic landscape of early-stage pulmonary carcinoid tumors. Univariable and multivariable logistic regression analysis examining predictors of early recurrence.
JSTOR Daily

Forecasting Single Disease Cost of Cataract Based on Multivariable Regression Analysis and Backpropagation Neural Network

Department of Health and Aging Australia. The Review of the AR-DRG Classification System Development Process: Brisbane, QLD, Australia: PricewaterhouseCoopers; 2009. 2. Klein-Hitpass U, ...
ascopubs.org

Predictive Factors of Chemotherapy-Induced Peripheral Neuropathy in Breast Cancer: A Decision Tree Model Approach

Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil In this prospective study of 170 patients ...
JSTOR Daily

Does Municipal Socioeconomic Development Affect Public Perceptions of Crime? A Multilevel Logistic Regression Analysis

This is a preview. Log in through your library . Abstract Chile is considered as one of the safest countries in Latin America, with a below-the-average world crime rate. However, during the last few ...