Latent Variable Models for Longitudinal Data with Multiple Continuous Outcomes

Latent-variable models for longitudinal data with bivariate ordinal outcomes.

We use the concept of latent variables to derive the joint distribution of bivariate ordinal outcomes, and then extend the model to allow for longitudinal data. Specifically, we relate the observed ordinal outcomes using threshold values to a bivariate latent variable, which is then modelled as a linear mixed model. Random effects terms are used to tie all together repeated observations from th...

Bayesian latent variable models for median regression on multiple outcomes.

Often a response of interest cannot be measured directly and it is necessary to rely on multiple surrogates, which can be assumed to be conditionally independent given the latent response and observed covariates. Latent response models typically assume that residual densities are Gaussian. This article proposes a Bayesian median regression modeling approach, which avoids parametric assumptions ...

Semiparametric latent variable transformation models for multiple mixed outcomes

The surge of technological advances that allow multiple outcomes to be routinely collected has brought up a high demand of valid statistical methods that can summarize and study the latent variables underlying them. Mixed outcome data, e.g. those with continuous and ordinal components, present further statistical challenges. Addressing to these challenges, we develop a new class of semiparametr...

LATENT VARIABLE MODELS FOR LONGITUDINAL STUDY WITH INFORMATIVE MISSINGNESS by

A Comparative Review of Selection Models in Longitudinal Continuous Response Data with Dropout

Missing values occur in studies of various disciplines such as social sciences, medicine, and economics. The missing mechanism in these studies should be investigated more carefully. In this article, some models, proposed in the literature on longitudinal data with dropout are reviewed and compared. In an applied example it is shown that the selection model of Hausman and Wise (1979, Econometri...