activity
20192022
most citedExtending Growth Mixture Model to Assess Heterogeneity in Joint Development with Piecewise Linear Trajectories in the Framework of Individual Measurement Occasions

10 citations · 10 across the 3 of their papers we have counts for

collaborators

7 papers

stat.ME2022

Estimating Rate of Change for Nonlinear Trajectories in the Framework of Individual Measurement Occasions: A New Perspective on Growth Curves

Jin Liu, Robert A. Perera

Researchers are often interested in examining between-individual differences in within-individual processes. If the process under investigation is tracked for a long time, its traj…

stat.ME2021

Assessing Mediational Processes Using Piecewise Linear Growth Curve Models with Individual Measurement Occasions

Jin Liu, Robert A. Perera

Longitudinal processes often unfold concurrently where the growth of two or more longitudinal outcomes are associated. Additionally, if the study under investigation is long, the g…

stat.ME2020★ 10 cited

Extending Growth Mixture Model to Assess Heterogeneity in Joint Development with Piecewise Linear Trajectories in the Framework of Individual Measurement Occasions

Jin Liu, Robert A. Perera

Researchers continue to be interested in exploring the effects that covariates have on the heterogeneity in trajectories. The inclusion of covariates associated with latent classes…

stat.ME2020

Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where and How to Add Which Covariates

Jin Liu, Robert A. Perera

Researchers are usually interested in examining the impact of covariates when separating heterogeneous samples into latent classes that are more homogeneous. The majority of theore…

stat.ME2020

Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions

Jin Liu, Robert A. Perera

Latent growth curve models with spline functions are flexible and accessible statistical tools for investigating nonlinear change patterns that exhibit distinct phases of developme…

stat.ME2019

Obtaining interpretable parameters from reparameterizing longitudinal models: transformation matrices between growth factors in two parameter spaces

Jin Liu, Robert A. Perera, Le Kang +2

The linear spline growth model (LSGM), which approximates complex patterns using at least two linear segments, is a popular tool for examining nonlinear change patterns. Among such…