JSTOR Daily

Bayesian Latent-Class Mixed-Effect Hybrid Models for Dyadic Longitudinal Data with Non-Ignorable Dropouts

The analysis of longitudinal dyadic data is challenging due to the complicated correlations within and between dyads, as well as possibly non-ignorable dropouts. Based on a mixed-effects hybrid model, ...
ascopubs.org

Use of FLIM histology-based HER2-HER3 heterodimer quantification and a Bayesian latent class proportional hazards model to predict cetuximab response in the COIN and new EPOC ...

Prolyl hydroxylase domain 1 (PHD1) to mediate chemoresistance in colorectal cancer. This is an ASCO Meeting Abstract from the 2015 ASCO Annual Meeting I. This abstract does not include a full text ...
Nature

Latent Class Models in Diagnostic Test Evaluation

Latent class models (LCMs) have emerged as a vital statistical tool in the evaluation of diagnostic tests, particularly in settings where no definitive gold standard is available. These models operate ...
JSTOR Daily

A hierarchical latent class model for predicting disability small area counts from survey data

This is a preview. Log in through your library . Abstract We consider the estimation of the number of severely disabled people by using data from the Italian survey on 'Health conditions and appeal to ...