Welcome

Profile       Grace Y. Yi

    Professor
    Canada Research Chair in Data Science (Tier 1)
    Department of Statistical and Actuarial Sciences
    Department of Computer Science
    University of Western Ontario
    Email: gyi5-at-uwo-dot-ca



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Refereed Journal Publications

Students and post-doctoral fellows as co-authors are marked with * and **, respectively.


  107.  W. He, G. Y. Yi, and Y. Zhu (2020). Estimation of the Basic Reproduction Number, Average Incubation Time, Asymptomatic 
          Infection Rate, and Case Fatality Rate for COVID-19: Meta-Analysis and Sensitivity Analysis. Journal of  Medical Virology,
          2020; 1-8. https://doi.org/10.1002/jmv.26041.
  106.   K. Cai**, W. He, and G. Y. Yi (2020). COVID-19 Fatality: A Cross-Sectional Study using Adaptive Lasso Penalized 
           Sliced Inverse Regression.  The Journal of Data Science, 18 (3), 483-495.
  105.   Y. Khadem Charvadeh* and G. Y. Yi (2020). Data Visualization and Descriptive Analysis for Understanding Epidemiological 
           Characteristics of COVID-19: A Case Study of a Dataset from January 22, 2020 to March 29, 2020. The Journal of Data 
           Science, 18 (3), 526-535.
  104.   G. Y. Yi, W. He, D. Lin, and C. Yu (2020). Testing for COVID-19: Some Statistical Issues. Revised for  The Journal 
           of Data Science .
  103.   Q. Zhang* and G. Y. Yi (2020). Marginal Analysis of Bivariate Mixed Responses with Measurement Error and 
           Misclassification. Under revision for Statistical Methods in Medical Research.
  102.   J. Fang* and G. Y. Yi (2020).  Imputation and Likelihood Methods for Matrix-Variate Logistic Regression with 
           Response Misclassification. Revised for The Canadian Journal of Statistics.
  101.   L.-P. Chen* and G. Y. Yi (2020). Model Selection and Model Averaging for Analysis of Truncated and Censored Data 
           with Measurement Error. Under revision for Electronic Journal of Statistics. 
  100.   Q. Zhang* and G. Y. Yi (2020). Genetic Association Studies with Bivariate Mixed Responses subject to Measurement 
           Error and Misclassification. To appear in  Statistics in Medicine.
  99.    L.-P. Chen* and G. Y. Yi (2020). Analysis of Noisy Survival Data with Graphical Proportional Hazards Measurement 
           Error Models. To appear in Biometrics.
  98.    B. Chen, A. Yuan, and G. Y. Yi (2020). Variable Selection for Proportional Hazards Models with High Dimensional 
           Covariates subject to Measurement Error. To appear in The Canadian Journal of Statistics.
  97.    D. Shu* and G. Y. Yi (2020). Robust Estimation of Causal Effects with Outcomes Subject to Misclassification and 
           Missingness. Under revision.
  96.    Y. Yan* and G. Y. Yi (2020). Analysis of Survival Data with Possibly Misspecified Measurement Error Model.
           To appear in  The Canadian Journal of Statistics.
  95.    X. Liu**, G. Y. Yi, G. Bauman, and W. He (2019). Ensembling Imbalanced-Spatial-Structured Support Vector Machine. 
           To appearin  Econometrics and Statistics.
  94.    L.-P. Chen* and G. Y. Yi (2019). Semiparametric Methods for Left-Truncated and Right-Censored Survival Data with
           Covariate Measurement Error. To appear in  Annals of the Institute of Statistical Mathematics.
  93.    J. Fang* and G. Y. Yi (2019). Matrix-variate Logistic Regression with Measurement Error. To appear in Biometrika.
  92.    D. Shu* and G. Y. Yi (2020). Causal inference with noisy data: Bias analysis and estimation approaches to 
           simultaneously addressing missingness and misclassification in binary outcomes.  To appear in Statistics in Medicine .
  91.    S. Barui** and G. Y. Yi (2020). Semiparametric Methods for Survival Data with Measurement Error under Additive 
            Hazards Cure Rate Models. To appear in Lifetime Data Analysis .
  90.     W. He and G. Y. Yi (2020). Parametric and Semiparametric Estimation Methods for Survival Data under a Flexible
            Class of Models. To appear in Lifetime Data Analysis, 26, 369-388.
  89.     D. Shu* and G. Y. Yi (2019). ipwErrorY: An R Package for Estimating Average Treatment Effects with Outcome 
            Misclassification. The R Journal, 11:1.
  88.     J. Xiong and G. Y. Yi (2019). swgee: An R Package for Analyzing Longitudinal Data with Missing Observations 
            and Covariate Measurement Error. The R Journal, 11:1.
  87.     D. Shu* and G. Y. Yi (2019). Inverse-Probability-of-TreatmentWeighted Estimation of Causal Parameters in the 
            Presence of Error-Contaminated and Time-Dependent Confounders. The Biometrical Journal, 61, 1507-1525.
  86.     W. He, G. Y. Yi, and L.-P. Chen* (2019). Support Vector Machine with Graphical Network Structures in Features.
            The 15th International Conference on Machine Learning and Data Mining (MLDM 2019).
  85.     H. Li*, D. Shu*, W. He, and G. Y. Yi (2019). Variable Selection via the Composite Likelihood Method for Multilevel 
            Longitudinal Data with Missing responses and Covariate. Computational Statistics & Data Analysis, 135, 25-34.
  84.     L.-P. Chen*, G. Y. Yi, Q. Zhang*, and W. He (2019). Multiclass Analysis and Prediction with Network Structured 
            Covariates. Journal of Statistical Distributions and Applications, 6:6.
  83.     D. Shu* and G. Y. Yi (2019). Causal Inference with Measurement Error in Outcomes: Bias Analysis and Estimation 
            Methods. Statistical Methods in Medical Research, 28, 2049-2068.
  82.     Q. Zhang* and G. Y. Yi (2019). R Package for Analysis of Data with Mixed Measurement Error and Misclassification
            in Covariates: augSIMEX. Journal of Statistical Computation and Simulation, 89, 2293-2315.
  81.     D. Shu* and G. Y. Yi (2019). Weighted Causal Inference Methods with Mismeasured Covariates and Misclassified 
            Outcomes. Statistics in Medicine, 38, 1835-1854.
  80.    G. Y. Yi, W. He, and F. He* (2019). Analysis of Panel Data with Misclassified Covariates. Statistics and 
           Its Interface, 12, 309-320.
  79.    G. Y. Yi, Y. Yan*, X. Liao, and D. Spiegelman (2018). Parametric Regression Analysis with Covariate Misclassification 
           in Main Study/Validation Study Designs. The International Journal of Biostatistics, 15 (1).
  78.     D. Shu* and G. Y. Yi (2018). Estimation of Causal Risk Measures in the Presence of Measurement Error in 
            Confounders. Statistics in Biosciences, 10, 233-254.
  77.    Z. Chen*, H. Mantel, C. Wu, and G. Y. Yi (2018). Regression Analysis of Binary Data from Complex Surveys 
           with Misclassification in Ordinal Covariates. Statistics and Applications, 16, 105-122.
  76.     Y. Ning**, G. Y. Yi and N. Reid (2018). A Class of Weighted Estimating Equations for Semiparametric Transformation 
            Models with Missing Covariates. Scandinavian Journal of Statistics, 45, 87-109.
  75.     H. Li, D. Shu*, Y. Zhang*, and G. Y. Yi (2018). Simultaneous Model Selection and Estimation for Multivariate  Multilevel 
            Longitudinal Data Mixed with Continuous and Binary Responses. Computational Statistics & Data Analysis, 118, 126-137.
  74.     J. He*, M. He* and G. Y. Yi (2018). Who is at Risk for a Spinal Fracture? - A Comparative Study of National Health and 
            Nutrition Examination Survey Data. The Journal of Emerging Investigators, March 1, 2018, 1-7.
  73.    G. Y. Yi and W. He (2017). Analysis of Case-Control Data with Interacting Misclassified Covariates. Journal of 
           Statistical Distributions and Applications, 4: 16.
  72.    G. Y. Yi, W. He and F. He* (2017). Analysis of Progressive Multi-State Models with Misclassified States: Likelihood 
            and Pairwise Likelihood Methods. Biostatistics & Epidemiology, 1, 119-132.
  71.    G. Y. Yi, W. He and H. Li* (2017). A Class of Flexible Models for Analysis of Complex Structured Correlated Data 
            with Application to Clustered Longitudinal Data. STAT, 6, 448-461.
  70.    G. Y. Yi, W. He and F. He* (2017). Analysis of Panel Data under Hidden Mover-Stayer Models. Statistics in
            Medicine, 36, 3231-3243.
  69.    G. Y. Yi, Z. Chen* and C. Wu (2017). Analysis of Correlated Data with Error-Prone Response under Generalized 
            Linear Mixed Models. Springer Edited Refereed Volume Big and Complex Data Analysis: Methodology and Applications, 
            Edited by S. Ejaz Ahmed. Springer, Cham Heidelberg New York.
  68.    G. Y. Yi (2017). Composite Likelihood/Pseudolikelihood. Wiley StatsRef: Statistics Reference Online. Invited submission.
           Wiley StatsRef: Statistics Reference Online. 1-14.
  67.    Y. Yan* and G. Y. Yi (2016). Analysis of Error-Prone Survival Data under Additive Hazards Models: Measurement Error 
          Effects and Adjustments. Lifetime Data Analysis, 22, 321-342.
  66.    H. Li* and G. Y. Yi (2016). Missing Data Mechanisms for Analysing Longitudinal Data with Incomplete Observations in
          Both Responses and Covariates. Australian & New Zealand Journal of Statistics, 58, 377-396.
  65.    S. Hossain., S. E. Ahmed, G. Y. Yi, and B. Chen (2016). Shrinkage and Pretest Estimators for Longitudinal Data Analysis 
          Under Partially Linear Models. Journal of Nonparametric Statistics, 28, 531-549.
  64.    Y. Yan* and G. Y. Yi (2016). A Class of Functional Methods for Error-Contaminated Survival Data under Additive Hazards
          Models with Replicate Measurements. Journal of the American Statistical Association, 111, 684-695.
  63.    G. Y. Yi, J. N. K. Rao, and H. Li* (2016). A Weighted Composite Likelihood Approach for Analysis of Survey Data under 
          Two-Level Models. Statistica Sinica, 26, 569-587.
  62.    G. Y. Yi, Y. Ma, D. Spiegelman, and R. J. Carroll (2015). Functional and Structural Methods with Mixed Measurement 
          Error and Misclassification in Covariates. Journal of the American Statistical Association, 110, 681-696.
  61.    G. Y. Yi, X. Tan**, and R. Li (2015). Variable Selection and Inference Procedures for Marginal Analysis of Longitudinal
          Data with Missing Observations and Measurement Error. The Canadian Journal of Statistics, 43, 498-518. Selected as The 
          Best Paper of The Canadian Journal of Statistics in 2015.
  60.    Y. Yan* and G. Y. Yi (2015). A Corrected Profile Likelihood Method for Survival Data with Covariate Measurement Error 
          under the Cox Model. The Canadian Journal of Statistics, 43,  454-480.
  59.    J. Xiong**, W. He and G. Y. Yi (2014). Joint Modeling of Survival Data and Mismeasured Longitudinal Data Using the 
          Proportional Odds Model. Statistics and Its Interface, 7, 241-250.
  58.    Z. Chen*, G. Y. Yi, and C. Wu (2014). Marginal Analysis of Longitudinal Ordinal Data with Misclassification in Both 
          Response and Covariates. Biometrical Journal, 56, 69-85.
  57.    H. Li* and G. Y. Yi (2013). A Pairwise Likelihood Approach for Longitudinal Data with Missing Observations in Both 
          Response and Covariates. Computational Statistics & Data Analysis, 68, 66-81.
  56.    X. Gao and G. Y. Yi (2013). Simultaneous Model Selection and Estimation for Mean and Association Structures with 
          Clustered Binary Data. STAT, 102-118.
  55.    H. Li* and G. Y. Yi (2013). Estimation Methods for Marginal and Association Parameters for Longitudinal Binary Data 
          with Nonignorable Missing Observations. Statistics in Medicine, 32, 833-848.
  54.    G. Y. Yi and J. F. Lawless (2012). Likelihood-Based and Marginal Inference Methods for Recurrent Event Data with 
          Covariate Measurement Error. The Canadian Journal of Statistics, 40, 530-549.
  53.    G. Y. Yi, Y. Ma, and R. J. Carroll (2012). A Functional Generalized Method of Moments Approach for Longitudinal 
          Studies with Missing Responses and Covariate Measurement Error.  Biometrika, 99, 151-165.
  52.    W. He, J. Xiong*, and G. Y. Yi (2012). SIMEX R Package for Accelerated Failure Models with Covariate Measurement 
          Error. Journal of Statistical Software, 46, Code Snippet 1, 1-14.
  51.    G. Y. Yi and W. He (2012). Bias Analysis and the Simulation-Extrapolation Method for Survival Data with Covariate 
          Measurement Error under Parametric Proportional Odds Models. The Biometrical Journal, 54, 343-360.
  50.    B. Chen*, G. Y. Yi, R. J. Cook, and X. Zhou (2012). Marginal Methods for Clustered Longitudinal Binary Data with 
          Incomplete Covariates. Journal of Statistical Planning and Inference,  142, 2819-2831.
  49.    L. Wu, W. Liu, G. Y. Yi and Y. Huang (2012). Analysis of Longitudinal and Survival Data: Joint Modeling, Inference
          Methods and Issues. Journal of Probability and Statistics, Article ID 640153, 17 pages.
  48.    W. He, J. Xiong** and G. Y. Yi (2011). Analysis of Error-Contaminated Survival Data under the Proportional Odds Model.
          Invited paper to the special issue on measurement error models  of Journal of Statistical Research, 45, 111-130.	
  47.    Q. Pan and G. Y. Yi (2011). An Estimation Method of Marginal Treatment Effects on Correlated Longitudinal and 
          Survival Outcomes. Statistics and Its Interface, 4, 499-509.
  46.    Z. Chen*, G. Y. Yi, and C. Wu (2011). Marginal Methods for Correlated Binary Data with Misclassified Responses.
          Biometrika, 98, 647-662.
  45.    B. Chen*, Z. Chen*, L. Wu*, L. Wang*, and G. Y. Yi (2011). Marginal Analysis of A Population-Based Genetic Association 
          Study of Quantitative Traits with Incomplete Longitudinal  Data (Invited Paper). The Journal of the Iranian Statistical 
          Society, 10, 109-123.
  44.    A. Qu, G. Y. Yi, P. X.-K., Song, and P. Wang* (2011). Assessing the Validity of Weighted Generalized Estimating Equations. 
          Biometrika, 98, 215-224.
  43.    G. Y. Yi, W. Liu and L. Wu (2011). Simultaneous Inference and Bias Analysis for Longitudinal Data with Covariate 
          Measurement Error and Missing Responses. Biometrics, 67, 67-75.
  42.    G. Y. Yi, L. Zeng, and R. J. Cook (2011). A Robust Pairwise Likelihood Method for Incomplete Longitudinal Binary Data
          Arising in Clusters. The Canadian Journal of Statistics, 39, 34-   51.
  41.    B. Chen, G. Y. Yi, and R. Cook (2011). Progressive Multi-State Models for Informatively Incomplete Longitudinal Data.
          Journal of Statistical Planning and Inference, 141, 80-93.
  40.    G. Y. Yi, W. He, and H. Liang (2011). Semiparametric Marginal and Association Regression Methods for Clustered Binary
          Data. Annals of the Institute of Statistical Mathematics, 63, 511-   533.
  39.    W. He and G. Y. Yi (2011). A Pairwise Likelihood Method for Correlated Binary Data with/without Missing Observations 
         under Generalized Partially Linear Single-Index Models. Statistica Sinica, 21, 207-229.
  38.    B. Lindsay, G. Y. Yi, and J. Sun* (2011). Issues and Strategies in the Selection of Composite Likelihoods.
          Statistica Sinica, 21, 71-105.
  37.    R. J. Cook, G. Y. Yi and K.-A. Lee (2010). Sequential Testing with Recurrent Events over Multiple Treatment Periods.
          Statistics for Biosciences, 2, 137-153.
  36.    G. Y. Yi and N. Reid (2010). A Note on Mis-specified Estimating Functions. Statistica Sinica, 20, 1749-1769.
  35.    D. A. S Fraser, N. Reid, E. Marras, and G. Y. Yi (2010). Default Priors for Bayesian and Frequentist Inference.
          The Journal of Royal Statistical Society, Series B, 72, 631-654.
  34.    G. Y. Yi, R. J. Cook, and B. Chen** (2010). Estimating Functions for Evaluating Treatment Effects in Cluster-Randomized
          Longitudinal Studies in the Presence of Drop-Out and Non-compliance.  The Canadian Journal of Statistics,38, 232-255.
  33.    B. Chen*, G. Y. Yi, and R. Cook (2010). Analysis of Interval-Censored Disease Progression Data via Multi- State Models 
          under a Nonignorable Inspection Process. Statistics in Medicine, 29, 1175-1189. Feature Article of The 29th Issue.
  32.    B. Chen*, G. Y. Yi, and R. Cook (2010). Weighted Generalized Estimating Functions for Longitudinal Response and
         Covariate Data that are Missing at Random. Journal of the American  Statistical Association, 105, 336-353.
  31.    S. Sagar, R. Wong, P. Lee, B. Chen*, G. Y. Yi, and R. J. Cook (2010). A Phase II Randomised Study of Acupuncture-like 
          Transcutaneous Nerve Stimulation (ALTENS) for the Prevention of Radiation-Induced Xerostomia in Patients Receiving Radical
          Radiotherapy for Head and Neck Cancer. Focus on Alternative and Complementary Therapies, 12, 43-44.
  30.    R. K. Wong, S. M. Sagar, B. J. Chen*, G. Y. Yi, and R. J. Cook (2010). Phase II Randomized Trial of Acupuncture-Like
          Transcutaneous Electrical Nerve Stimulation to Prevent Radiation-Induced Xerostomia in Head and Neck Cancer Patients. 
          Journal of the Society for Integrative Oncology, 8 (No. 2), 35-42.
  29.    G. Y. Yi (2009). Measurement Error in Life History Data. (Invited Paper). International Journal of Statistical
          Sciences, 9 (Special Issue), 177-197.
  28.    B. Chen*, G. Y. Yi, and R. J. Cook (2009). Likelihood Analysis of Joint Marginal and Conditional Models for Longitudinal
          Categorical Data. The Canadian Journal of Statistics, 37, 182-205.
  27.    G. Y. Yi and W. He (2009). Median Regression Models for Longitudinal Data with Dropouts. Biometrics, 65, 618-625.
  26.    W. He and G. Y. Yi (2009). Survival Prediction with Gene Expression Profiles. (Invited Paper). JP Journal of
          Biostatistics, 3, 17-39.
  25.    G. Y. Yi, W. He, and H. Liang (2009). Analysis of Correlated Binary Data under Partially Linear Single-Index Logistic
          Models. Journal of Multivariate Analysis, 100, 278-290.
  24.    G. Y. Yi (2008). A Simulation-Based Marginal Method for Longitudinal Data with Drop-Out and Mismeasured Covariates. 
          Biostatistics, 9, 501-512.
  23.    R. J. Cook, B. J. G. White*, G. Y. Yi, K.-A. Lee, and T. E.Warkentin (2008). Analysis of a Nonsusceptible Fraction with
          Current Status Data. Statistics in Medicine, 27, 2715-2730.
  22.    G. Y. Yi and D. A. S. Fraser (2007). Higher Order Asymptotics: An Intrinsic Difference between Univariate and Multivariate
          Models. Journal of Statistical Research, 41, 1-20.
  21.    W. He, G. Y. Yi, and J. Xiong* (2007). Accelerated Failure Time Models with Covariates Subject to Measurement Error. 
          Statistics in Medicine, 26, 4817-4832.
  20.    G. Y. Yi and J. F. Lawless (2007). A Corrected Likelihood Method for the Proportional Hazards Model with Covariates 
          Subject to Measurement Error. Journal of Statistical Planning and  Inference, 137, 1816-1828.
  19.    G. Y. Yi and W. He (2006). Methods for Bivariate Survival Data with Mismeasured Covariates under an Accelerated Failure 
          Time Model. Communications in Statistics - Theory and  Methods, 35, 1539-1554.
  18.    Y.-H. Choi*, G. Y. Yi and D.E. Matthews (2006). A Simulation-Extrapolation Method for Bivariate Survival Data with Covariates
          Subject to Measurement Error. (Invited Paper). Journal  of Applied Probability and Statistics, 1, 49-66.
  17.    D.A.S. Fraser, E. Marras, N. Reid, and G. Y. Yi (2006). Two New Procedures for Developing Model-based Priors for default
          Bayesian Analysis. Accepted by 2006 Valencia/ISBA meeting  (28 out of 150 submissions were selected).
  16.    G. Y. Yi (2005). Robust Methods for Incomplete Longitudinal Data with Mismeasured Covariates. (Invited Paper). Far East
          Journal of Theoretical Statistics, 16, 205-234.
  15.    G. Y. Yi and M. E. Thompson (2005). Marginal and Association Regression Models for Longitudinal Binary Data with Drop-Outs:
          A Likelihood-Based Approach. The Canadian Journal of Statistics, 33, 3-20.
  14.    R. J. Cook, W.Wei* and G. Y. Yi (2005). Robust Tests for Treatment Effects Based on Censored Recurrent Event Data Observed
          over Multiple Periods. Biometrics, 61, 692-701.
  13.    G. Y. Yi and R. J. Cook (2005). Errors in the Measurement of Covariates. The Encyclopedia of Biostatistics, 2nd ed.,
         Vol. 3. Ed. by P. Armitage and T. Colton, John Wiley & Sons Ltd.,  1741-1748.
  12.    R. J. Cook, L. Zeng*, and G. Y. Yi (2004). Marginal Analysis of Incomplete Longitudinal Binary Data: A Cautionary Note
          on LOCF Imputation. Biometrics, 60, 820-828.
  11.    R. J. Cook, G. Y. Yi, K.-A. Lee, and D. D. Gladman (2004). A Conditional Markov Model for Clustered Progressive Multistate
          Processes under Incomplete Observation. Biometrics, 60,  436-443.
  10.    D. A. S. Fraser, N. Reid, A. Wong, and G. Y. Yi (2003). Direct Bayes for Interest Parameters. Bayesian Statistics, 
          7, 529-534.
  9.    G. Y. Yi and R. J. Cook (2002). Marginal Methods for Incomplete Longitudinal Data Arising in Clusters. Journal of the
           American Statistical Association, 97, 101-1080.
  8.    G. Y. Yi and R. J. Cook (2002). Second Order Estimating Equations for Clustered Longitudinal Binary Data with Missing 
          Observations. Recent Advances in Statistical Methods, Ed. by Y. P. Chaubey, World Scientific Publishing Company Inc., London, 352-366.
  7.    G. Y. Yi, J. Wu*, and Y. Liu* (2002). Implementation of Higher-Order Asymptotics to S-Plus. Computational Statistics & Data
          Analysis, 40, 775-800.
  6.    R. J. Cook, J. D. Kalbeisch, and G. Y. Yi (2002). A Generalized Mover-Stayer Model for Panel Data. Biostatistics, 3, 407-420.
  5.    D. A. S. Fraser and G. Y. Yi (2002). Location Reparameterization And Default Priors for Statistical Analyses. (Invited Paper).
          Journal of the Iranian Statistical Society, 1, 55-78.
  4.    Y. Yi (1993). Fixed Points for Kakutani Factorizable Multifunctions. Journal of University of Electronic Science and 
          Technology of China, Vol. 22, No. 5, 534-536.
  3.    Y. Yi (1991). The Level Structure of Fuzzy Topology. Acta Mathematica Sinica, Vol. 34, No. 6, 731-736.
  2.    Y. Yi (1990). The Level Characterization of the Interior Operator in Induced Spaces. Chinese Science Bulletin,
           Vol. 35, No. 11, 884-887.
  1.    Y. Yi (1989). On the Structure of Interior Operator in Induced Spaces of Fuzzy Topology. Science Bulletin 
          (Chinese version), Vol. 15, 1124-1126.

WesternU


    Department of Statistical and Actuarial Sciences, Department of Computer Science
    Western University, 1151 Richmond St, London, Ontario, Canada N6A 3K7