Presentations

Planned

“Efficient estimation of the HIV reservoir with partial deep sequencing data,” Invited talk @ International Chinese Statistics Association Applied Statistics Symposium, Ann Arbor, MI, June 2023. [Abstract][Slides]

“Optimal multi-wave validation of secondary use data with outcome and exposure misclassification,” Contributed talk (topic-contributed session) @ Joint Statistical Meetings, Toronto, Canada, August 2023. [Abstract][Slides]

"Overcoming missing data to quantify the HIV reservoir with dilution assays and deep viral sequencing," Invited talk @ Women in Statistics and Data Science, Bellevue, WA, October 2023. [Abstract][Slides]

“Quantifying the HIV reservoir with dilution assays and deep viral sequencing,” Invited talk @ CMStatistics, Berlin, Germany, December 2023. [Abstract][Slides]

Recorded

"geogRaphy: An introduction to spatial data In R," Guest lecture @ Vanderbilt University for BIOS6301: Introduction to Statistical Computing, Department of Biostatistics, Virtual, November 2020. [Slides][Code][Video]

"Efficient odds ratio estimation using error-prone data from a multi-national HIV research cohort," Invited talk @ Vanderbilt University, Health Policy Grand Rounds, Virtual, October 2020. [Slides][Video]

"Odds ratio estimation in error-prone, observational HIV cohort data," Contributed talk @ Women In Statistics and Data Science, Virtual, October 2020. [Abstract][Slides][Video]

Invited Talks, Lectures, and Seminars

“It's integral: Replacing the trapezoidal rule to remove bias and correctly impute censored covariates with their conditional mean,” Invited talk @ ENAR Spring Meeting, Nashville, TN, March 2023. [Abstract][Slides]

“Overcoming censored predictors with imputation to model the progression of Huntington's disease,” Invited talk @ CMStatistics, London, UK, December 2022. [Abstract][Slides]

"Getting thrifty with data quality: Efficient two-phase designs for error-prone data," Invited talk @ Wake Forest University School of Medicine, Department of Biostatistics and Data Science, Winston-Salem, NC, September 2022. [Slides]

“New frontiers for conditional mean imputation: Overcoming censored predictors to model the progression of Huntington's disease,” Invited talk @ Joint Statistical Meetings, Washington DC, August 2022. [Abstract][Slides]

“New frontiers for conditional mean imputation: Modeling the progression of Huntington's disease despite censored covariates,” Invited talk @ 22nd Meeting of New Researchers in Statistics and Probability, Fairfax, VA, August 2022. [Abstract][Poster]

“Design and analysis strategies with `secondary use' data,” Invited talk @ International Chinese Statistics Association's (ICSA) Applied Statistics Symposium, Gainesville, FL, June 2022. [Abstract][Slides]

"Advancing conditional mean Imputation for statistical modeling with censored predictors," Invited talk @ Brigham and Women's Hospital & Harvard Medical School, Department of Pharmacoepidemiology and Pharmacoeconomics, Virtual, April 2022. [Slides]

"See a need, fill a need: Tackling our research questions using data and statistics," [Slides]

"Getting thrifty with data quality: Efficient two-phase designs for error-prone data," 

"Filling in the blanks: Multiply imputing missing data in R," Tutorial @ R-Ladies Research Triangle Park, Virtual, November 2021. [Info][Slides]

"Da-ta day life," Guest lecture @ Syracuse University for SPM295: Research Methods, Department of Sports Management, Virtual, September 2020. [Slides]

"Introduction to missing data," Guest lecture @ Vanderbilt University for BIOS6312: Modern Regression Analysis, Department of Biostatistics, Virtual, April 2020. [Slides]

"Robust odds ratio estimation using error-prone data: Correcting for outcome misclassification and covariate measurement error in logistic regression," Invited talk @ Vanderbilt University, Department of Biostatistics, Nashville, TN, November 2019. [Abstract][Slides]

 Contributed

“One size fits all: A generalized algorithm to fitting GLMs with censored predictors In R,” Contributed talk @ Women In Statistics and Data Science, St. Louis, MO, October 2022. [Abstract][Slides]

“Advancing conditional mean imputation for censored predictors,” Contributed talk @ ENAR Spring Meeting, Houston, TX, March 2022. [Slides]

"Optimal multi-wave validation of secondary use data with outcome and exposure misclassification," Contributed talk @ Women in Statistics and Data Science, Virtual, October 2021. [Abstract][Slides]

"Efficient odds ratio estimation using partial data audits error-prone, observational HIV cohort data," Contributed poster @ International Chinese Statistics Association Applied Statistics Symposium, Virtual, December 2020. [Abstract][Slides][Poster]

"Robust estimation with outcome misclassification and covariate measurement error in logistic regression," Contributed talk @ ENAR Spring Meeting, Virtual, March 2020. [Abstract][Slides]

"Semiparametric maximum likelihood for logistic regression with response and covariate measurement error," Contributed talk @ Joint Statistical Meetings, Denver, CO, August 2019. [Abstract][Slides]

"Efficient Inference for two-phase designs with response and covariate measurement error," Contributed talk @ ENAR Spring Meeting, Philadelphia, PA, March 2019. [Abstract][Slides]

"A comparison of self-audits as alternatives to travel-audits in improving data quality In the Caribbean, Central and South America network for HIV epidemiology," 

"Impact of distance calculation methods on geospatial analysis of healthcare access," 

"Comparing admission and enrollment outcomes through a spatial scope," Poster @ University of Florida Undergraduate Research Symposium, Gainesville, FL, March 2016. [Poster]