Multivariate ordinal regression for multiple repeated measurements

Abstract. A multivariate ordinal regression model which allows the joint modeling of three-dimensional panel data containing both repeated and multiple ...

In this paper we propose a multivariate ordinal regression model which allows the joint modeling of three-dimensional panel data containing both repeated and ...

Multivariate ordinal regression for multiple repeated measurements

The model proposed in this paper therefore extends the two-dimensional class of multivariate regression models to accommodate for a more complex ...

Multivariate ordinal regression for multiple repeated measurements

A multivariate ordinal regression model which allows the joint modeling of three-dimensional panel data containing both repeated and multiple measurements

Multivariate ordinal regression for multiple repeated measurements

R package mvord (Hirk, Hornik, and Vana, 2020) implements multivariate ordinal regression models where the outcomes can be correlated in the ...

Multivariate ordinal regression for multiple repeated measurements

Semantic Scholar extracted view of "Multivariate ordinal regression for multiple repeated measurements" by Laura Vana-Gür.

Comparing the difference in change in repeated measures ordinal ...

If you are familiar with ordinal logistic regression models and mixed-effects models with lmer in the lme4 package in R , you may want to ...

Can I apply multivariate regression analysis of ordinal data?

... variables in a standard - single level - multiple regression. these ... Multilevel Modelling of Repeated Measures Data. You want module 3 ...

mvord: An R Package for Fitting Multivariate Ordinal Regression ...

A flexible modeling framework for multiple ordinal measurements on the same subject is ... settings where multiple or repeated ordinal observations occur. This ...

Multivariate ordinal regression for multiple repeated measurements

Record link: http://hdl.handle.net/20.500.12708/197326 · https://doi.org/10.34726/6320 ; Title: Multivariate ordinal regression for multiple repeated ...

3-level ordinal outcome measured at 3 time points (repeated ...

I gather there are actually multiple ... ordinal logistic regression that can accommodate the dependencies in the repeated measures.

Multivariate Multiple Linear Regression - StatsTest.com

Multivariate Multiple Linear Regression is a statistical test used to predict multiple outcome variables using one or more other variables.

GEE for Repeated Measures Analysis | Columbia Public Health

Multivariate Data- a persons weight and height simultaneously measured · Clustered Data- weight for all members in various families · Longitudinal Data- weight ...

An R Package for Fitting Multivariate Ordinal Regression Models

A flexible modeling framework for multiple ordinal measurements on the same subject is set up, which takes ... repeated measurements. They analyze the ...

Multivariate ordinal regression for multiple repeated measurements

Multivariate ordinal regression for multiple repeated measurements. Laura Vana-Gür. SID: hYMxackC. DOI: 10.1016/j.csda.2024.108013. Abstract.

Multivariate ordinal regression models: an analysis of corporate ...

Correlated ordinal data typically arises from multiple measurements on a collection of subjects. Motivated by an application in credit risk ...

mvord: An R Package for Fitting Multivariate Ordinal Regression ...

I These ordinal responses are often correlated among multiple or repeated measurements. I ⇒ There is need for multivariate ordinal models.

Two Factor Multivariate Repeated Measures

MANOVA can be used instead of a Mixed Two-way Repeated Measures ANOVA (1W+1B), especially when the sphericity assumption doesn't hold.

REGRESSION MODELS WITH ORDINAL VARIABLES*

A recurring methodological issue has been how to treat variables measured on an ordinal scale when multiple regression and structural equation methods would ...

A tree-based method for modeling a multivariate ordinal response

The implication of this parameter reduction is to assume that the correlation structure among any two pair of responses is the same, but varies for different ...