Nature

A weighted burden test using logistic regression for integrated analysis of sequence variants, copy number variants and polygenic risk score

The previously described SCOREASSOC programme was modified to carry out logistic regression analysis [9, 10]. It accepts as input genotypes of variants within a gene for cases and controls, with each ...
Nature

Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis

where Z is the Z-score, x is the observed value for any given variable, μ is the mean of the variable over all subjects, and σ is the standard deviation. Discriminant analysis (DA) is conceptually ...
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 ...
CU Boulder News & Events

Regression for Binary and Count Data: Logistic and Poisson Regression

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...
Kellogg School of Management

Interpreting a Regression Analysis

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...