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Pan Junhao
panjunh@mail.sysu.edu.cn
Chinese, English
Guangdong
Sun Yat-Sen University
Psychology
  • 2005-2009: PhD in Statistics, The Chinese University of Hong Kong
  • 2001-2005: Bachelor of Science in Statistics, Sun Yat-sen University
  • 2003-2005: Bachelor of Science in Computer Science, Sun Yat-sen University
  • 2020: Ministry of Education's 8th Higher Education Scientific Research Outstanding Achievement Award (Humanities and Social Sciences) - Youth Achievement Award
  • 2021-present: Professor, Department of Psychology, Sun Yat-sen University
  • 2015-2021: Associate Professor, Department of Psychology, Sun Yat-sen University
  • 2014: Visiting Scholar, Department of Biomedical Engineering, Emory University
  • 2009-2015: Lecturer, Department of Psychology, Sun Yat-sen University
  • 2020: Ministry of Education's 8th Higher Education Scientific Research Outstanding Achievement Award (Humanities and Social Sciences) - Youth Achievement Award
  • 2019: First Prize in Guangdong Province Education and Teaching Achievement Award (4th place)
  • 2019: Outstanding Master's Supervisor, Sun Yat-sen University
  • 2018: Outstanding Communist Party Member, Sun Yat-sen University
Improvement and development of latent variable model statistical analysis methods and their application in psychology (especially developmental psychology, clinical psychology, health psychology)
Bayesian structural equation modeling
Combination of Bayesian regularization methods and latent variable models
Analysis of intensive tracking data within the Bayesian framework
  • How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model?, Feng, Y.L. & Pan, J.H., 2024
  • Children's Interpretations of Parental Responses to Children's Negative Emotions in Chinese Urban and Rural Communities, Ding, R.Y., He, W., Liu, T., Pan, J.H. & Wang, Q., 2024
  • Maternal Supportive Responses to Adolescents' Negative Emotions Serve as Protective Factors for Adolescents' Hostile Attribution Bias Longitudinally, Ding, R.Y., Wang, S.S., Liu, J., He, W., & Pan, J.H., 2023
  • Network of Depressive Symptoms Before and After a Diagnosis of Chronic Kidney Disease, Chen, J.L., Qiao, X.Y., Pan, J.H., Zhao, J.B., Li, H.Q., Cheng, Y.H., Liu, J.J., Zhang, N., & Tao, Y., 2024
  • Testing Informative Hypotheses in Factor Analysis Models Using Bayes Factors, Gu, X., Zhu, X., Zhang, L.J., & Pan, J.H., 2023
  • The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation, Zheng, S.F., Zhang, L.J., Jiang, Z.H., & Pan, J.H., 2023
  • Validation of the Lee‐Jones Theoretical Model of Fear of Cancer Recurrence among Breast Cancer Survivors using a Structural Equation Modeling Approach, Lucas, A.R., Pan, J.H., Ip, E.H., Hall, D.L., Tooze, J.A., Levine, B., Mohr, D.C., Penedo, F.J., Cella, D. & Wanger, L.I., 2022
  • Joint Analysis of Multivariate Failure Time Data with Latent Variables, Pan, D., Song, X.Y., & Pan, J.H., 2022
  • Evaluation and Comparison of SEM, ESEM and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings, Wei, X.Y., Huang, J.S., Zhang, L.J., Pan, D., & Pan, J.H., 2022
  • Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval, Zhang, L.J., Pan, J.H., & Ip, E.H., 2021
  • blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis, Zhang, L.J., Pan, J.H., Dubé, L., & Ip, E.H., 2021
  • Trait/Financial Information of Potential Male Mate Eliminates Mate-Choice Copying by Women: Trade-Of Between Social Information and Personal Information in Mate Selection, Liu, X.G., Zhang, C.H., Wang, X.L., Feng, X.R., Pan, J.H., & Zhou, G.M., 2021
  • Normality Mediates the Effect of Symmetry on Facial Attractiveness, Zheng, R.Y., Ren, D.Y., Xie, C.Y., Pan, J.H., & Zhou, G.M., 2021
  • A Partially Confirmatory Approach to Scale Development with the Bayesian Lasso, Chen, J.S., Guo, Z.H., Zhang, L.J., & Pan, J.H., 2021
  • Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment, Pan, J.H, Ip, H.S., & Dubé, L., 2020
  • Integration of Moderation and Mediation in a Latent Variable Framework: A Comparison of Estimation Approaches for the Second-stage Moderated Mediation Model, Feng, Q.Q., Song, Q.Y., Zhang, L.J., Zheng, S.F., & Pan, J.H., 2020
  • Factors Influencing Health Behaviour, Blood Pressure Control, and Disability in Hypertensive Ischaemic Stroke Patients After a Comprehensive Reminder Intervention, Zhang, X.P., Pan, J.H., Wan, L.H., Liu, Z.Y., Mo, M.M., Wang, M.Y., & Li, Y.Y., 2020
  • Sleep Spindles, K-complexes, Limb Movements and Sleep Stage Proportions May be Biomarkers for Amnestic Mild Cognitive Impairment and Alzheimer's Disease, Liu, S.J., Pan, J.H., Tang, K., Lei, Q.F., He, L., Meng, Y.Y., Cai, X.D. & Li, Z., 2020
  • Plasma Neurofilament Light Chain may be a Biomarker for the Inverse Association between Cancers and Neurodegenerative Diseases, Liu, S.J., Huang, Z.Z, Zhang, L.J., Pan, J.H., Lei, Q.F., Meng, Y.Y., & Li, Z., 2020
  • Development and Validation of an Age-Appropriate Self-Compassionate Reactions Scale for Children (SCRS-C), Zhou, H., Wang, Y.Y., Ding, J.H., Wang, Y., & Pan, J.H., 2019
  • Mindful Parenting Assessed in Mainland China: Psychometric Properties of the Chinese Version of the Interpersonal Mindfulness in Parenting Scale, Pan, J.H., Liang, Y.Y., Zhou, H., & Wang, Y.Y., 2019
  • Bayesian Analysis of Latent Markov Models with Non-ignorable Missing Data, Cai, J.H., Liang, Z.B., Sun, R.Q., Liang, C.Y., & Pan, J.H., 2019
  • Trait Mindfulness is Associated with the Self-similarity of Heart Rate Variability, Sun, S.S., Hu, C.L., Pan, J.H., Liu, C.Y., & Huang, M.E., 2019
  • The Indirect Path From Mindful Parenting to Emotional Problems in Adolescents: The Role of Maternal Warmth and Adolescents’ Mindfulness, Wang, Y.Y., Liang, Y.Y., Fan, L.L., Lin, K.X., Xie, X.L., Pan, J.H., & Zhou, H., 2018
  • Emotion Regulation and Complex Brain Networks: Association Between Expressive Suppression and Efficiency in the Fronto-Parietal Network and Default-Mode Network, Pan, J.H., Zhan, L.Y., Hu, C.L., Yang, J.K., Wang, C., Gu, L., Zhong, S.Q., Huang, Y.Y., Wu, Q., Xie, X.L., Chen, Q.J., Zhou, H., Huang, M.E., & Wu, X., 2018
  • Determinants of Hospitalization in Chinese Patients with Type 2 Diabetes Receiving a Peer Support Intervention and JADE Integrated Care: the PEARL Randomised Controlled Trial, Yeung, R. O., Cai, J. H., Zhang, Y. Y. Luk, A. O., Pan, J. H., Yin, J. M., Ozaki, R., Kong, A. P. S., Ma, R. C. W., So, W. Y., Tsang, C. C., Lau, K. P., Fisher, E., Goggins, W., Oldenburg, B. & Chan, J. C. N., 2018
  • An Alternative to Post Hoc Model Modification in Confirmatory Factor Analysis: The Bayesian Lasso, Pan, J.H, Ip, H.S., & Dubé, L., 2017
  • The Interactive Effect of Facial Appearance and Behavior Statement on Trust Belief and Trust Behavior, Li, T.N., Liu, X.G., Pan, J.H., & Zhou, G.M., 2017
  • Reward Learning Modulates the Attentional Processing of Faces in Children with and without Autism Spectrum Disorder, Li, T.B., Wang, X.Q., Pan, J.H., Feng, S.Y., Gong, M.Y., Wu, Y.X., Li, G.X., Li, S., & Yi, L., 2017
  • Individual-Specific, Sparse Inverse Covariance Estimation in Generalized Estimating Equations, Zhang, Q., Ip, H.S., Pan, J.H., & Plemmons, R., 2017
  • Reciprocal Markov Modeling of Feedback Mechanisms between Emotion and Dietary Choice Using Experience Sampling Data, Lu,
Latent Variable Model Statistical Analysis Developmental Psychology Clinical Psychology Health Psychology Bayesian Methods Structural Equation Modeling Regularization Intensive Tracking Data Bayesian Framework

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