Add to ORKGA general latent normal model for multilevel data with mixtures of response types is extended in the case of ordered responses to deal with variates having a large number of categories and including count data. An example is analysed by using repeated measures data on child growth and adult measures of body mass index and glucose. Applications are described that are concerned with the flexible prediction of adult measurements from collections of growth measurements and for studying the relationship between the number of measurement occasions and growth trajectories
Several methods have been used by different authors to estimate growth curves. In this paper, five ...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Latent growth models have been widely applied to univariate longitudinal data. In this work we exten...
A general latent normal model for multilevel data with mixtures of response types is extended in the...
Multilevel modeling is a flexible approach for the analysis of nested data structures, such as those...
Multilevel multivariate modelling of childhood growth, numbers of growth measurements and adult char...
Repeated measures and repeated events data have a hierarchical structure which can be analysed using...
We propose a latent variable approach for modeling repeated multiple continuous responses. First the...
Childhood growth is of interest in medical research concerned with determinants and consequences of ...
Childhood growth is of interest in medical research concerned with determinants and consequences of ...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Multi-level models for estimating conditional and unconditional longitudinal growth norms are presen...
We propose a multivariate growth curve mixture model that groups subjects on the basis of multiple s...
The growth in the availability of longitudinal data—data collected over time on the same individuals...
Aim To present a flexible model for repeated measures longitudinal growth data within individuals t...
Several methods have been used by different authors to estimate growth curves. In this paper, five ...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Latent growth models have been widely applied to univariate longitudinal data. In this work we exten...
A general latent normal model for multilevel data with mixtures of response types is extended in the...
Multilevel modeling is a flexible approach for the analysis of nested data structures, such as those...
Multilevel multivariate modelling of childhood growth, numbers of growth measurements and adult char...
Repeated measures and repeated events data have a hierarchical structure which can be analysed using...
We propose a latent variable approach for modeling repeated multiple continuous responses. First the...
Childhood growth is of interest in medical research concerned with determinants and consequences of ...
Childhood growth is of interest in medical research concerned with determinants and consequences of ...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Multi-level models for estimating conditional and unconditional longitudinal growth norms are presen...
We propose a multivariate growth curve mixture model that groups subjects on the basis of multiple s...
The growth in the availability of longitudinal data—data collected over time on the same individuals...
Aim To present a flexible model for repeated measures longitudinal growth data within individuals t...
Several methods have been used by different authors to estimate growth curves. In this paper, five ...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Latent growth models have been widely applied to univariate longitudinal data. In this work we exten...