Regular use of strong opioids may significantly increase risk for all-cause and vascular dementia plus reduced brain volume and cognitive performance.

These models can be viewed as an extension of conventional linear and logistic regression models to account for and learn from the clustering in the data. Such models are appropriate when, for example ...

He has made extensive use of survival analysis methods, particularly Cox regression in instrumental variable analyses. Dr Suzanne Ingle is a research fellow in Medical Statistics in Bristol Medical ...

Statistical analyses Statistical analyses were undertaken with IBM SPSS Statistics (V.22.0 for Windows). Trial arm comparisons across baseline player characteristics (age, anthropometric ...

Learn how to detect, handle, and evaluate outliers in your linear regression model. Find out how outliers affect the fit, accuracy, and reliability of your model.

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

Other statistical and mathematical methods are employed with the same aim to determine critical points in logistic curves (Carvalho and Pinho, 1996 and Mischan et al., 2011) fitted to data of seed ...

type of surgery and age were included as covariates in a logistic regression model. These covariates were selected due to the clinical importance and potential difference in the incidence of the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Learn the difference between greenfield and brownfield investments, two different types of foreign direct investment.

Deciding between an Agile and Waterfall methodology for project management? This guide compares the two approaches to help you choose.

Studying the relationship between linear discriminant analysis (LDA) and least squares regression (LSR) is of great theoretical and practical significance. It is well-known that the two-class LDA is ...