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Linying Ji

Showing results (1-10 of 15) with videos related to

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Multivariate Behavioral Research|July 12, 2024
Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal DesignsYanling Li, Zita Oravecz, Linying Ji, et al.
Multivariate Behavioral Research|December 4, 2019
Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive ModelLinying Ji, Sy-Miin Chow, Brian Crosby, et al.
Structural Equation Modeling : a Multidisciplinary Journal|May 23, 2022
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and MplusYanling Li, Julie Wood, Linying Ji, et al.
Multivariate Behavioral Research|December 17, 2016
(Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial ConditionsLu Ou, Sy-Miin Chow, Linying Ji, et al.
Structural Equation Modeling : a Multidisciplinary Journal|July 16, 2019
Handling Missing Data in the Modeling of Intensive Longitudinal DataLinying Ji, Sy-Miin Chow, Alice C Schermerhorn, et al.
Sleep Health|January 9, 2025
Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living settingJyotirmoy Nirupam Das, Linying Ji, Yuqi Shen, et al.
World Academy of Science, Engineering and Technology|August 22, 2019
dynr.mi: An R Program for Multiple Imputation in Dynamic ModelingYanling Li, Linying Ji, Zita Oravecz, et al.
Structural Equation Modeling : a Multidisciplinary Journal|July 1, 2020
A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family ProcessesLinying Ji, Meng Chen, Zita Oravecz, et al.
Sleep Health|May 28, 2023
Six multidimensional sleep health facets in older adults identified with factor analysis of actigraphy: Results from the Einstein Aging StudyLinying Ji, Meredith L Wallace, Lindsay Master, et al.
Frontiers in Digital Health|November 29, 2023
Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study dataLinying Ji, Yanling Li, Lindsey N Potter, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Multivariate Behavioral Research|July 12, 2024
Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal DesignsYanling Li, Zita Oravecz, Linying Ji, et al.
Multivariate Behavioral Research|December 4, 2019
Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive ModelLinying Ji, Sy-Miin Chow, Brian Crosby, et al.
Structural Equation Modeling : a Multidisciplinary Journal|May 23, 2022
Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and MplusYanling Li, Julie Wood, Linying Ji, et al.
Multivariate Behavioral Research|December 17, 2016
(Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial ConditionsLu Ou, Sy-Miin Chow, Linying Ji, et al.
Structural Equation Modeling : a Multidisciplinary Journal|July 16, 2019
Handling Missing Data in the Modeling of Intensive Longitudinal DataLinying Ji, Sy-Miin Chow, Alice C Schermerhorn, et al.
Sleep Health|January 9, 2025
Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living settingJyotirmoy Nirupam Das, Linying Ji, Yuqi Shen, et al.
World Academy of Science, Engineering and Technology|August 22, 2019
dynr.mi: An R Program for Multiple Imputation in Dynamic ModelingYanling Li, Linying Ji, Zita Oravecz, et al.
Structural Equation Modeling : a Multidisciplinary Journal|July 1, 2020
A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family ProcessesLinying Ji, Meng Chen, Zita Oravecz, et al.
Sleep Health|May 28, 2023
Six multidimensional sleep health facets in older adults identified with factor analysis of actigraphy: Results from the Einstein Aging StudyLinying Ji, Meredith L Wallace, Lindsay Master, et al.
Frontiers in Digital Health|November 29, 2023
Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study dataLinying Ji, Yanling Li, Lindsey N Potter, et al.
Pageof 2