Sentence examples for mixture modelling using from inspiring English sources

This could be achieved through covariance matrices and latent variables or mixture modelling using appropriate classes of random effects distributions resorting, perhaps, to new inferential methodology.

Savage et al. (2010) adopt a mixture modelling approach, using a hierarchical Dirichlet process (DP) to perform integrative modelling of two datasets.

Growth curve and growth mixture modelling were used to identify trajectories of HRQoL.

In this research, 104 out of 1440 infants are classified as large for gestational age using the mixture modelling approach.

For growth mixture modelling, missing data were handled using the full-information maximum-likelihood method (FIML) [ 44, 45] and the total sample of the intent-to-treat population was considered.

A secondary analysis of the COMACS Study using growth mixture modelling analysis (a statistical technique to identify subgroups within a population with different trajectories of change over time) of total SKAMP scores investigated the effect of symptom severity on MPH response to Equasym XL® and Concerta®[ 36].

The analysis of longitudinal differences in outcome will use two complementary statistical approaches: multilevel (mixed) modelling (MLM) and growth mixture modelling (GMM) as applied to randomised preventative interventions by Muthén [ 47].

An alternative method which does not have these limitations and has already been used in some contexts other than CKD is the latent class linear mixed model, also called growth mixture modelling [ 48- 50].

Our study assessed the five year trajectories of both HR-QOL and life satisfaction in long term colorectal cancer survivors' adjustment using an analytic approach known as growth mixture modelling [ 18].

The results of the present study advocate the use of a latent growth mixture modelling approach in clinical cardiology research, because it allows for the identification of subgroups with distinct developmental patterns.

Methods include group-based trajectory modelling [10, 13] and growth mixture modelling (GMM) [11, 12].