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
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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Students and post-doctoral fellows as co-authors are marked with * and **, respectively.
136. J. Fang* and G. Y. Yi (2023). Bayesian Analysis for Matrix-Variate Logistic Regression with/without Response Misclassification.
Statistics and Computing, 33, 121. https://doi.org/10.1007/s11222-023-10286-4
135. H. Guo*, B. Wang, and G. Y. Yi (2023). Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition
Model. NeurIPS 2023.
134. Q. Zhang* and G. Y. Yi (2023). Zero-Inflated Poisson Models with Measurement Error in the Response.
Biometrics, 79, 1089-1102.
133. Q. Zhang* and G. Y. Yi (2023). Generalized Network Structured Models for Discovering Gene Network with Mixed Responses subject
to Measurement Error and Misclassification. Biometrics, 79, 1073-1088.
132. L. Diao and G. Y. Yi (2023). Classification Trees with Misclassified Responses. Journal of Classification, 40, 168-191.
131. H. Zhuang*, L. Diao, and G. Y. Yi (2023). Polya Tree Monte Carlo Method. Computational Statistics and Data Analysis, 180, 107665.
130. G. Y. Yi and L.-P. Chen* (2023). Estimation of the Average Treatment Effect with Variable Selection and Measurement Error
Simultaneously Addressed for Potential Confounders. Statistical Methods in Medical Research, 32, 691-711.
129. Q. Zhang**, G. Y. Yi, L.-P. Chen**, and W. He (2023). Sentiment Analysis and Causal Learning of COVID-19 Tweets prior to the
Rollout of Vaccines. PLOS ONE, 18(2): e0277878. https://doi.org/10.1371/journal.pone.0277878.
128. Q. Zhang* and G. Y. Yi (2023). Sensitivity Analysis of Error-Contaminated Time Series Data under Autoregressive Models with the
Application of COVID-19 Data. Journal of Applied Statistics, 50, 1611-1634.
127. Y. Khadem Charvadeh*, G. Y. Yi, Y. Bian*, and W. He (2022). Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations
of Some Associated Issues with a Case Study of COVID-19 Incubation Times. Statistics for Biosciences, 14, 175-190.
126. Y. Weng* and G. Y. Yi (2022). Estimation of the COVID-19 Average Incubation Time: Systematic Review, Meta-analysis and
Sensitivity Analyses. Journal of Medical Virology, 94, 4156-4169.
125. J. Cui*, J. Lu*, Y. Weng*, Grace Y. Yi, and W. He (2022). COVID-19 Impact on Mental Health.
BMC Medical Research Methodology, 22:15.
124. G. Y. Yi, P. Hu* and W. He (2022). Characterizing the Dynamic of COVID-19 with a New Epidemic Model:
Susceptible-Exposed-Symptomatic-Asymptomatic-Active-Removed. The Canadian Journal of Statistics, 50, 395-416.
123. H. Zhuang*, L. Diao and G. Y. Yi (2022). Polya Tree-Based Nearest Neighbor Regression. Statistics and Computing, 32: 59.
https://doi.org/10.1007/s11222-021-10076-w.
122. H. Zhuang*, L. Diao and G. Y. Yi (2022). A Bayesian Nonparametric Mixture Model for Grouping Dependence Structures and Selecting of
Copula Functions. Econometrics and Statistics, 22, 172-189.
121. J. Fang* and G. Y. Yi (2022). Regularized Matrix-Variate Logistic Regression with Response subject to Misclassification.
Journal of Statistical Planning and Inference, 217, 106-121.
120. Y. Tang, X. Song, and G. Y. Yi (2022). Bayesian Analysis under Accelerated Failure Time Models with Error-Prone Time-to-Event Outcomes.
Lifetime Data Analysis, 28, 139-168.
119. Y. Xu*, S-S. Liu* and G. Y. Yi (2022). mgee2: An R Package for Marginal Analysis of Longitudinal Ordinal Data with Misclassified
Responses and Covariates. The R Journal, 13 (2), 471-484.
118. L.-P. Chen** and G. Y. Yi (2022). Robust Feature Screening for Ultrahigh-Dimensional Censored Data subject to Measurement Error.
Pages 23-53 of Advances and Innovations in Statistics and Data Science, edited by W. He, L. Wang, J. Chen, and C. Lin.
Springer Science+Business Media Singapore.
117. L.-P. Chen* and G. Y. Yi (2022). De-Noising Analysis of Noisy Data under Mixed Graphical Models.
Electronic Journal of Statistics, 16, 3861-3909.
116. L.-P. Chen* and G. Y. Yi (2022). Sufficient Dimension Reduction for Survival Data Analysis with Error-Prone Variables.
Electronic Journal of Statistics, 16, 2082-2123.
115. M. E. Thompson, J. Sedransk, J. Fang*, and G. Y. Yi (2022). Bayesian Inference for a Variance Component Model using Pairwise
Composite Likelihood with Survey Data. Survey Methodology, 48, 73-93.
114. G. Y. Yi, W. He and R. J. Carroll (2022). Feature Screening with Large Scale and High Dimensional Censored Data.
Biometrics, 78, 894-907.
113. G. Y. Yi and J. Buzas (2021). Measurement Error Models - A Brief Account of Past Developments and Modern Advancements. Pages 3-35 of
Handbook of Measurement Error Models, edited by G.Y. Yi, A. Delaigle, and P. Gustfason, Chapman and Hall/CRC, Boca Raton, Florida.
112. G. Y. Yi (2021). Likelihood Methods for Measurement Error and Misclassi cation. Pages 99-125 of
Handbook of Measurement Error Models, edited by G.Y. Yi, A. Delaigle, and P. Gustfason, Chapman and Hall/CRC, Boca Raton, Florida.
111. Q. Zhang* and G. Y. Yi (2021). Marginal Analysis of Bivariate Mixed Responses with Measurement Error and Misclassification.
Statistical Methods in Medical Research, 30(5) 1155-1186.
110. B. Zhao*, W. He, X. Liu**, and G. Y. Yi (2021). Dynamic Tilted Current Correlation for High-Dimensional Variable Screening.
Journal of Multivariate Analysis, 182, article 104693.
109. J. Fang* and G. Y. Yi (2021). Matrix-variate Logistic Regression with Measurement Error. To appear in Biometrika, 108, 83-97.
108. L.-P. Chen* and G. Y. Yi (2021). Analysis of Noisy Survival Data with Graphical Proportional Hazards Measurement Error Models.
Biometrics, 77, 956-969.
107. B. Chen, A. Yuan, and G. Y. Yi (2021). Variable Selection for Proportional Hazards Models with High Dimensional Covariates subject to
Measurement Error. To appear in The Canadian Journal of Statistics, 49, 397-420.
106. G. Y. Yi and Y. Yan*(2021). Estimation and Hypothesis Testing with Error-Contaminated Survival Data under a Possibly Misspecified
Measurement Error Model. The Canadian Journal of Statistics, 49, 853-874.
105. L.-P. Chen* and G. Y. Yi (2021). Semiparametric Methods for Left-Truncated and Right-Censored Survival Data with Covariate Measurement
Error. Annals of the Institute of Statistical Mathematics, 73, 481-517.
104. X. Liu**, G. Y. Yi, G. Bauman, and W. He (2021). Ensembling Imbalanced-Spatial-Structured Support Vector Machine.
Econometrics and Statistics, 17, 145-155.
103. G. Y. Yi, W. He, D. Lin, and C. Yu (2021). Testing for COVID-19: Some Statistical Issues.
The Journal of Data Science, 19 (2), 243-252.
102. H. Zhuang*, L. Diao and G. Y. Yi (2021). A Vine Copula Model for Climate Trend Analysis using Canadian Temperature Data.
The Journal of Data Science, 19, 37-55.
101. L.-P. Chen**, Q. Zhang*, G. Y. Yi , and W. He (2021). Model-Based Forecasting for Canadian COVID-19 Data.
PLOS ONE , https://doi.org/10.1371/journal.pone.0244536, January 19, 2021.
100. Q. Zhang* and G. Y. Yi (2020). Genetic Association Studies with Bivariate Mixed Responses subject to Measurement Error and
Misclassification. Statistics in Medicine, 39, 3700-3719.
99. 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, 92, 2543-2550.
98. 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), 483-494
97. 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.
96. L.-P. Chen* and G. Y. Yi (2020). Model Selection and Model Averaging for Analysis of Truncated and Censored Data with Measurement Error.
Electronic Journal of Statistics, 14, 4054-4109.
95. D. Liu*, Y. Du*, Y. Khadem Charvadeh*, J. Cui*, L.-P. Chen**, G. Deng*, Q. Zhang*, K. Cai**, J. He*, W. He, and G. Y. Yi (2020). A Real
Time and Interactive Web-based Platform for Visualizing and Analyzing COVID-19 in Canada. International Journal of Statistics and
Probability, 9(5), 23-29.
94. H. Zhuang*, L. Diao and G. Y. Yi (2020). A Bayesian Hierarchical Copula Model. Electronic Journal of Statistics, 14, 4457-4488.
93. L.-P. Chen* and G. Y. Yi (2020). Model Selection and Model Averaging for Analysis of Truncated and Censored Data with Measurement Error.
Electronic Journal of Statistics, 14, 4054-4109.
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. Statistics in Medicine , 39, 456-468.
91. S. Barui** and G. Y. Yi (2020). Semiparametric Methods for Survival Data with Measurement Error under Additive Hazards Cure Rate Models.
Lifetime Data Analysis , 26, 421-450.
90. W. He and G. Y. Yi (2020). Parametric and Semiparametric Estimation Methods for Survival Data under a Flexible Class of Models.
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.
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Department of Computer Science, Department of Statistical and Actuarial Sciences
Western University, 1151 Richmond St, London, Ontario, Canada N6A 3K7