JSTOR Daily

Bayesian Analysis of Mixed-effect Regression Models Driven by Ordinary Differential Equations

Non-linear regression models with regression functions specified by ordinary differential equations (ODEs) involving some unknown parameters are used to model dynamical systems appearing in ...
JSTOR Daily

Shape Detection Using Semi-Parametric Shape-Restricted Mixed Effects Regression Spline with Applications

Sankhyā: The Indian Journal of Statistics, Series B (2008-), Vol. 83, Special Issue: C.R. Rao Volume (May 2021), pp. S65-S85 (21 pages) Linear models are widely used in the field of epidemiology to ...
Simon Fraser University

Analysis of Variance for Mixed and Random Effect Models

Just as PROC GLM is the flagship procedure for fixed-effect linear models, the MIXED procedure is the flagship procedure for random- and mixed-effect linear models. PROC MIXED fits a variety of mixed ...
News Medical

A mixed-effects deep learning model to diagnose COVID-19 from computed tomography imaging

Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection is usually diagnosed via reverse transcription PCR or RT-PCR, but this method is far from perfect. According to one review, ...
CMAJ

The association of sensitivity and specificity with disease prevalence: analysis of 6909 studies of diagnostic test accuracy

Background: Sensitivity and specificity are characteristics of a diagnostic test and are not expected to change as the prevalence of the target condition changes. We sought to evaluate the association ...