ascopubs.org

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

Impact of 68Ga-PSMA-11 PET/CT on staging and management of prostate cancer patients in various clinical settings. This is an ASCO Meeting Abstract from the 2020 Genitourinary Cancers Symposium. This ...
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 ...
ascopubs.org

A multivariate logistic model to predict odds of small bowel cancer by various risk factors.

OR: Odds ratio, 95% CI: 95% Confidence interval, HIV: Human Immunodeficiency virus This is an ASCO Meeting Abstract from the 2022 ASCO Annual Meeting I. This abstract does not include a full text ...
JSTOR Daily

Logistic Regression for Empirical Studies of Multivariate Selection

Understanding the mechanics of adaptive evolution requires not only knowing the quantitative genetic bases of the traits of interest but also obtaining accurate measures of the strengths and modes of ...
JSTOR Daily

Multivariate Bayesian Logistic Regression for Analysis of Clinical Study Safety Issues

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...
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 ...