World's Best Scientists 2026 revealed!

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Mathematics

D-Index
58
Citations
9366
World Ranking
655
National Ranking
33

Research.com Recognitions

  • 2004 - Fellow of the American Statistical Association (ASA)

Overview

Sik-Yum Lee was affiliated with the Chinese University of Hong Kong in China. Their research contributed to the field of statistics, with a particular focus reflected in published works and collaborations.

The scientist coauthored research with:

  • Hongtu Zhu
  • Joseph G. Ibrahim
  • Heping Zhang

One of Lee's recent publications is titled "Perturbation selection and influence measures in local influence analysis", published in 2021 in UNC Libraries. This paper has been cited 11 times.

Lee's work appeared primarily in the venue:

  • UNC Libraries

In 2004, Lee was recognized as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Structural Equation Modeling: A Bayesian Approach

    Sik-Yum Lee

  • Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes.

    Sik-Yum Lee;Xin-Yuan Song

  • Local Polynomial Fitting in Semivarying Coefficient Model

    Wenyang Zhang;Sik-Yum Lee;Xinyuan Song

  • A two-stage estimation of structural equation models with continuous and polytomous variables.

    Sik-Yum Lee;Wai-Yin Poon;P. M. Bentler

  • Local influence for incomplete data models

    Hong Tu Zhu;Sik Yum Lee

  • Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

    Xin-Yuan Song;Sik-Yum Lee

  • A study of algorithms for covariance structure analysis with specific comparisons using factor analysis

    Sik-yum Lee;R. I. Jennrich

  • Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients

    Wai-Yin Poon;Sik-Yum Lee

  • STRUCTURAL EQUATION MODELS WITH CONTINUOUS AND POLYTOMOUS VARIABLES

    Sik-Yum Lee;Wai-Yin Poon;P. M. Bentler

  • Latent variable models with mixed continuous and polytomous data

    J.-Q. Shi;S.-Y. Lee

  • Perturbation selection and influence measures in local influence analysis

    Hongtu Zhu;Joseph G. Ibrahim;Joseph G. Ibrahim;Sikyum Lee;Sikyum Lee;Heping Zhang;Heping Zhang

  • Maximum likelihood estimation of nonlinear structural equation models

    Sik Yum Lee;Hong Tu Zhu

  • AN ANALYSIS OF THE RELATIONSHIP BETWEEN LANGUAGE ATTITUDES AND ENGLISH ATTAINMENT OF SECONDARY STUDENTS IN HONG KONG

    Herbert D. Pierson;Gail S. Fu;Sik-yum Lee

  • Structural Equation Modeling

    Sik-Yum Lee

  • Longitudinal Analysis of Quality of Life for Stroke Survivors Using Latent Curve Models

    Jun Hao Pan;Xin Yuan Song;Sik Yum Lee;Timothy Kwok

  • Bayesian sampling-based approach for factor analysis models with continuous and polytomous data

    Jian-Qing Shi;Sik-Yum Lee

  • Case-deletion measures for models with incomplete data

    Hongtu Zhu;Sik‐Yum Lee;Bo‐Cheng Wei;Julie Zhou

  • Full maximum likelihood analysis of structural equation models with polytomous variables

    Sik-Yum Lee;Wai-Yin Poon;P.M. Bentler

  • Bayesian analysis of structural equation models with dichotomous variables

    Sik-Yum Lee;Xin-Yuan Song

  • A Three-Stage Estimation Procedure for Structural Equation Models with Polytomous Variables.

    Sik-Yum Lee;Wai-Yin Poon;P. M. Bentler

Frequent Co-Authors

Xin-Yuan Song
Xin-Yuan Song Chinese University of Hong Kong
Peter M. Bentler
Peter M. Bentler University of California, Los Angeles
Yih-Ing Hser
Yih-Ing Hser University of California, Los Angeles
Wing-Yee So
Wing-Yee So Chinese University of Hong Kong
Joseph G. Ibrahim
Joseph G. Ibrahim University of North Carolina at Chapel Hill
Juliana C.N. Chan
Juliana C.N. Chan Chinese University of Hong Kong
Robert I. Jennrich
Robert I. Jennrich University of California, Los Angeles
Kwok Leung
Kwok Leung Chinese University of Hong Kong
Suzanne M. Skevington
Suzanne M. Skevington University of Manchester
Fanny M. Cheung
Fanny M. Cheung Chinese University of Hong Kong

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