Nature

A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...
Kellogg School of Management

Regression Modeling

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...
JSTOR Daily

The Use of Resampling Methods to Simplify Regression Models in Medical Statistics

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 48, No. 3 (1999), pp. 313-329 (17 pages) The number of variables in a regression model is often too large and a more ...
HealthDay on MSN

Model Predicts Poor Outcomes Within 30 Days of a Before Medically Advised Discharge

HealthDay News — A model may predict death or illicit drug overdose within 30 days of a before medically advised (BMA) discharge, according to a study published online Nov. 11 in CMAJ, the journal of ...
Visual Studio Magazine

Decision Tree Regression from Scratch with Pointers Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
JSTOR Daily

Regression models for public health surveillance data: a simulation study

This is a preview. Log in through your library . Abstract Objectives: Poisson regression is now widely used in epidemiology, but researchers do not always evaluate the potential for bias in this ...