activity
20192023
most citedEstimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions

14 citations · 47 across the 11 of their papers we have counts for

collaborators

11 papers

stat.ME2023

Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem

Jin Liu

We introduce the R package nlpsem, a comprehensive toolkit for analyzing longitudinal processes within the structural equation modeling (SEM) framework, incorporating individual me…

stat.ME2022

Decomposing Impact on Longitudinal Outcome of Time-varying Covariate into Baseline Effect and Temporal Effect

Jin Liu

Longitudinal processes are often associated with each other over time; therefore, it is important to investigate the associations among developmental processes and understand their…

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.ME2021

Extending Latent Basis Growth Model to Explore Joint Development in the Framework of Individual Measurement Occasions

Jin Liu

Longitudinal processes often pose nonlinear change patterns. Latent basis growth models (LBGMs) provide a versatile solution without requiring specific functional forms. Building o…

stat.ME2021

Jenss-Bayley Latent Change Score Model with Individual Ratio of Growth Acceleration in the Framework of Individual Measurement Occasions

Jin Liu

Longitudinal data analysis has been widely employed to examine between-individual differences in within-individual changes. One challenge of such analyses is that the rate-of-chang…

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★ 8 cited

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★ 14 cited

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★ 9 cited

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…

stat.ME2019★ 6 cited

Two-step growth mixture model to examine heterogeneity in nonlinear trajectories

Jin Liu, Le Kang, Roy T. Sabo +2

Empirical researchers are usually interested in investigating the impacts of baseline covariates have when uncovering sample heterogeneity and separating samples into more homogene…