Grace Y. Yi | Academic Influence

Grace Y. Yi's AcademicInfluence.com Rankings

Grace Y. Yi

Mathematics

#6160

World Rank

#8582

Historical Rank

Statistics

#909

World Rank

#1002

Historical Rank

mathematics Degrees

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Mathematics

Grace Y. Yi's Degrees

PhD Statistics University of British Columbia
Masters Statistics University of British Columbia
Bachelors Mathematics University of British Columbia

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Why Is Grace Y. Yi Influential?

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According to Wikipedia, Grace Yun Yi is a professor of the University of Western Ontario where she currently holds a Tier I Canada Research Chair in Data Science. She was a professor at the University of Waterloo, Canada, where she holds a University Research Chair in Statistical and Actuarial Science. Her research concerns event history analysis with missing data and its applications in medicine, engineering, and social science.

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Grace Y. Yi's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Estimation of the basic reproduction number, average incubation time, asymptomatic infection rate, and case fatality rate for COVID‐19: Meta‐analysis and sensitivity analysis (2020) (161)
Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues (2012) (115)
Marginal Analysis of Incomplete Longitudinal Binary Data: A Cautionary Note on LOCF Imputation (2004) (104)
ISSUES AND STRATEGIES IN THE SELECTION OF COMPOSITE LIKELIHOODS (2011) (99)
Statistical Analysis with Measurement Error or Misclassification (2017) (81)
Marginal Methods for Incomplete Longitudinal Data Arising in Clusters (2002) (78)
Default priors for Bayesian and frequentist inference (2010) (73)
A generalized mover-stayer model for panel data. (2002) (71)
Median Regression Models for Longitudinal Data with Dropouts (2009) (64)
Weighted Generalized Estimating Functions for Longitudinal Response and Covariate Data That Are Missing at Random (2010) (55)
A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error (2012) (52)
A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters (2011) (49)
Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates (2015) (48)
A corrected likelihood method for the proportional hazards model with covariates subject to measurement error (2007) (48)
A Conditional Markov Model for Clustered Progressive Multistate Processes under Incomplete Observation (2004) (47)
Accelerated failure time models with covariates subject to measurement error (2007) (47)
Simultaneous Inference and Bias Analysis for Longitudinal Data with Covariate Measurement Error and Missing Responses (2011) (42)
Analysis of interval‐censored disease progression data via multi‐state models under a nonignorable inspection process (2010) (35)
A NOTE ON MIS-SPECIFIED ESTIMATING FUNCTIONS (2010) (29)
A Class of Functional Methods for Error-Contaminated Survival Data Under Additive Hazards Models with Replicate Measurements (2016) (26)
Marginal methods for correlated binary data with misclassified responses (2011) (25)
A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates. (2008) (24)
Robust Tests for Treatment Effects Based on Censored Recurrent Event Data Observed over Multiple Periods (2005) (24)
A weighted composite likelihood approach for analysis of survey data under two-level models (2017) (23)
A Pairwise Likelihood Method For Correlated Binary Data With/withoutMissing Observations Under Generalized Partially Linear Single-indexModels (2011) (23)
Analysis of correlated binary data under partially linear single-index logistic models (2009) (21)
Marginal and association regression models for longitudinal binary data with drop‐outs: A likelihood‐based approach (2005) (19)
Causal inference with measurement error in outcomes: Bias analysis and estimation methods (2019) (19)
Model-based forecasting for Canadian COVID-19 data (2021) (18)
Methods for Bivariate Survival Data with Mismeasured Covariates Under an Accelerated Failure Time Model (2006) (17)
Marginal analysis of longitudinal ordinal data with misclassification in both response and covariates (2014) (16)
SIMEX R Package for Accelerated Failure Time Models with Covariate Measurement Error (2012) (15)
Likelihood analysis of joint marginal and conditional models for longitudinal categorical data (2009) (14)
COVID-19 impact on mental health (2022) (13)
Bias analysis and the simulation‐extrapolation method for survival data with covariate measurement error under parametric proportional odds models (2012) (13)
Semiparametric marginal and association regression methods for clustered binary data (2011) (13)
Progressive multi-state models for informatively incomplete longitudinal data (2011) (12)
Shrinkage and pretest estimators for longitudinal data analysis under partially linear models (2016) (12)
Variable selection and inference procedures for marginal analysis of longitudinal data with missing observations and covariate measurement error (2015) (12)
Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error (2020) (12)
Advanced Statistical Methods in Data Science (2016) (12)
Analysis of a nonsusceptible fraction with current status data (2008) (12)
Phase II Randomized Trial of Acupuncture-Like Transcutaneous Electrical Nerve Stimulation to Prevent Radiation-Induced Xerostomia in Head and Neck Cancer Patients. (2010) (11)
A corrected profile likelihood method for survival data with covariate measurement error under the Cox model (2015) (11)
Assessing the validity of weighted generalized estimating equations (2011) (10)
Likelihood‐based and marginal inference methods for recurrent event data with covariate measurement error (2012) (10)
A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates (2013) (10)
Errors in the Measurement of Covariates (2005) (10)
Analysis of case-control data with interacting misclassified covariates (2017) (9)
Analysis of noisy survival data with graphical proportional hazards measurement error models (2020) (9)
A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates (2018) (8)
Weighted causal inference methods with mismeasured covariates and misclassified outcomes (2019) (8)
Composite Likelihood/Pseudolikelihood (2017) (7)
Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses (2018) (7)
A bayesian nonparametric mixture model for grouping dependence structures and selecting copula functions (2021) (7)
A Note on Misspecified Estimating Functions (2008) (7)
Sequential Testing with Recurrent Events over Multiple Treatment Periods (2010) (6)
SECOND ORDER ESTIMATING EQUATIONS FOR CLUSTERED LONGITUDINAL BINARY DATA WITH MISSING OBSERVATIONS (2002) (6)
Matrix-variate logistic regression with measurement error (2020) (6)
Estimation methods for marginal and association parameters for longitudinal binary data with nonignorable missing observations (2013) (6)
Parametric Regression Analysis with Covariate Misclassification in Main Study/Validation Study Designs (2018) (6)
Model selection and model averaging for analysis of truncated and censored data with measurement error (2020) (6)
Analysis of error-prone survival data under additive hazards models: measurement error effects and adjustments (2016) (5)
COVID-19: Should We Test Everyone? (2020) (5)
Multiclass analysis and prediction with network structured covariates (2019) (5)
A Bayesian hierarchical copula model (2020) (4)
Analysis of panel data under hidden mover–stayer models (2017) (4)
Genetic association studies with bivariate mixed responses subject to measurement error and misclassification (2020) (4)
Semiparametric methods for survival data with measurement error under additive hazards cure rate models (2020) (3)
Handbook of Measurement Error Models (2021) (3)
Location Reparameterization and Default Priors for Statistical Analysis (2002) (3)
Support Vector Machine with Graphical Network Structures in Features (2019) (3)
Inverse‐probability‐of‐treatment weighted estimation of causal parameters in the presence of error‐contaminated and time‐dependent confounders (2019) (3)
Text mining and sentiment analysis of COVID-19 tweets (2021) (3)
Estimating functions for evaluating treatment effects in cluster‐randomized longitudinal studies in the presence of drop‐out and non‐compliance (2010) (3)
Missing Data Mechanisms for Analysing Longitudinal Data with Incomplete Observations in Both Responses and Covariates (2016) (3)
Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times (2021) (3)
R package for analysis of data with mixed measurement error and misclassification in covariates: augSIMEX (2019) (3)
An estimation method of marginal treatment effects on correlated longitudinal and survival outcomes (2011) (3)
A Real Time and Interactive Web-Based Platform for Visualizing and Analyzing COVID-19 in Canada (2020) (2)
A Simulation-Extrapolation Method for Bivariate Survival Data with Covariates Subject to Measurement Error (2006) (2)
Implementation of higher-order asymptotics to S-plus (2002) (2)
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification (2021) (2)
Covariate Measurement Error in Life History Data (2009) (2)
Marginal methods for clustered longitudinal binary data with incomplete covariates. (2012) (2)
Joint Models and Their Applications (2012) (2)
Parametric and semiparametric estimation methods for survival data under a flexible class of models (2020) (2)
Zero-inflated poisson models with measurement error in the response. (2022) (2)
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed (2022) (2)
Simultaneous model selection and estimation for mean and association structures with clustered binary data (2012) (1)
Ensembling Imbalanced-Spatial-Structured Support Vector Machine (2020) (1)
Estimation and hypothesis testing with error‐contaminated survival data under possibly misspecified measurement error models (2021) (1)
Joint modeling of survival data and mismeasured longitudinal data using the proportional odds model (2014) (1)
Sufficient dimension reduction for survival data analysis with error-prone variables (2022) (1)
Estimation of Causal Effect Measures in the Presence of Measurement Error in Confounders (2018) (1)
swgee: An R Package for Analyzing Longitudinal Data with Response Missingness and Covariate Measurement Error (2019) (1)
Characterizing the Dynamic of COVID-19 with a New Epidemic Model: Susceptible-Exposed-Symptomatic-Asymptomatic-Active-Removed (2020) (1)
Causal inference with noisy data: Bias analysis and estimation approaches to simultaneously addressing missingness and misclassification in binary outcomes (2019) (1)
Dynamic tilted current correlation for high dimensional variable screening (2021) (1)
Likelihood Methods with Measurement Error and Misclassification (2021) (1)
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 (2007) (1)
A class of flexible models for analysis of complex structured correlated data with application to clustered longitudinal data (2017) (1)
Measurement Error Models - A Brief Account of Past Developments and Modern Advancements (2021) (1)
Analysis of error-prone survival data under additive hazards models: measurement error effects and adjustments (2015) (1)
Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error (2020) (1)
Analysis of Correlated Data with Error-Prone Response Under Generalized Linear Mixed Models (2017) (0)
Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error (2020) (0)
mgee2: An R package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates (2021) (0)
Survival Data with Measurement Error (2017) (0)
Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confounders (2023) (0)
Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccines (2023) (0)
A Vine Copula Model for Climate Trend Analysis using Canadian Temperature Data (2021) (0)
Correction to: Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times (2021) (0)
Analysis of panel data with misclassified covariates (2019) (0)
Marginal analysis of bivariate mixed responses with measurement error and misclassification (2021) (0)
Unbiased Boosting Estimation for Censored Survival Data (0)
Semiparametric methods for survival data with measurement error under additive hazards cure rate models (2019) (0)
Feature screening with large‐scale and high‐dimensional survival data (2021) (0)
Impact of COVID-19 on Mental Health: A Longitudinal Study Using Penalized Logistic Regression (2021) (0)
Marginal Analysis of Misclassified Longitudinal Ordinal Data [R package mgee2 version 0.1] (2020) (0)
Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times (2021) (0)
Analysis of Correlated Binary Data under Partially Linear Logistic Models (2007) (0)
Estimation of Causal Effect Measures in the Presence of Measurement Error in Confounders (2018) (0)
Sensitivity analysis of error-contaminated time series data under autoregressive models with the application of COVID-19 data (2020) (0)
Special Issue on Neuroimaging data analysis: Guest Editors' Introduction (2021) (0)
Case–Control Studies with Measurement Error or Misclassification (2017) (0)
Parametric and semiparametric estimation methods for survival data under a flexible class of models (2019) (0)
COVID-19 Fatality: A Cross-Sectional Study using Adaptive Lasso Penalized Sliced Inverse Regression (2020) (0)
A Composite Likelihood Approach to Analysis of Survey Data with Sampling Weights Incorporated under Two-Level Models (2013) (0)
Analysis of progressive multi-state models with misclassified states: likelihood and pairwise likelihood methods (2017) (0)
Measurement Error and Misclassification: Introduction (2017) (0)
Nonparametric Simulation Extrapolation for Measurement Error Models (2021) (0)
Marginal Analysis of A Population-Based Genetic Association Study of Quantitative Traits with Incomplete Longitudinal Data (2011) (0)
Inference Framework and Method (2017) (0)
ipwErrorY: An R Package for Estimation of Average Treatment Effect with Misclassified Binary Outcome (2019) (0)
SOME METHODS ON LONGITUDINAL DATA ANALYSIS (2006) (0)
Variable selection via the composite likelihood method for multilevel longitudinal data with missing responses and covariates (2019) (0)
Regularized matrix-variate logistic regression with response subject to misclassification (2022) (0)
Recurrent Event Data with Measurement Error (2017) (0)
Regression Analysis of Binary Data from Complex Surveys with Misclassification in Ordinal Covariates (2019) (0)
HIGHER ORDER ASYMPTOTICS: AN INTRINSIC DIFFERENCE BETWEEN UNIVARIATE AND MULTIVARIATE MODELS (2007) (0)
Multiclass analysis and prediction with network structured covariates (2019) (0)
Book Reviews (2017) (0)
Longitudinal Data with Covariate Measurement Error (2017) (0)
A Note on Misspecied Estimating Functions (2008) (0)
Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies (2021) (0)
Polya tree Monte Carlo method (2022) (0)
Testing for COVID-19: Some Statistical Issues (2021) (0)
De-noising analysis of noisy data under mixed graphical models (2022) (0)
Multi-State Models with Error-Prone Data (2017) (0)
A special issue of CJS in honour of Jack Kalbfleisch and Jerry Lawless (2011) (0)
Analysis with Mismeasured Responses (2017) (0)
Correction to: Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times (2021) (0)
Analysis of case-control data with interacting misclassified covariates (2017) (0)

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