Nature

Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate cancer

Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...
ascopubs.org

Increasing Power in Phase III Oncology Trials With Multivariable Regression: An Empirical Assessment of 535 Primary End Point Analyses

A previous study demonstrated that power against the (unobserved) true effect for the primary end point (PEP) of most phase III oncology trials is low, suggesting an increased risk of false-negative ...
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, ...
University of Bristol

Models & statistical models

Sketch/plot simple theoretical models for continuous outcomes that involve up to 2 explanatory variables, including being able to illustrate confounding and interaction List the questions a regression ...
technologynetworks

The MANOVA Test

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...
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 ...