output
20162024
most citedPreliminary Target Selection for the DESI Emission Line Galaxy (ELG) Sample

58 citations

Showing stat.MEShow all

5 papers · 1 filter

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★ 4 cited

A practical Response Adaptive Block Randomization (RABR) design with analytic type I error protection

Tianyu Zhan, Lu Cui, Ziqian Geng +3

Response adaptive randomization (RAR) is appealing from methodological, ethical, and pragmatic perspectives in the sense that subjects are more likely to be randomized to better pe…

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★ 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…