Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

Bodily functions rise and decline with age, and the brain is no exception. However, the exact trajectory of our brain ...

A study reveals that nearly 80% of US neurologists prescribing multiple sclerosis (MS) therapies received industry payments, ...

Our findings indicate that US adult baseline contact patterns show little variability over time after controlling for disease ...

Abstract: We consider the problem of estimating self-exciting generalized linear models from limited binary observations, where the history of the process serves as the covariate. We analyze the ...

This paper considers the problem of extending the classical moving average models to time series with conditional distributions given by generalized linear models. These models have the advantage of ...

The use of large-scale machine learning~(ML) is becoming ubiquitous in various domains ranging from business intelligence to self-driving cars. Many companies are building ML pipelines in a unified ...

Different types of multivariable analysis: generalized linear models Generalized linear models (GLMs, table 2) are a flexible and powerful class of statistical models widely used in multivariable ...

Linear regression is commonly used in various literature. However, the linear models have limitations. The generalized linear models (GLMs) expand upon the linear regression to handle data such as ...