Presentations

Planned

"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]

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]

Overcoming censored predictors with imputation to model the progression of Huntington's disease,” Invited talk @ Women In Statistics and Data Science, London, UK, December 2022. [Abstract][Slides]

Censored covariates: Not strictly missing but still imputable,” Invited talk @ ENAR Spring Meeting, Nashville, TN, March 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

“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]

  • Guest lecture @ Syracuse University for SPM295: Research Methods, Department of Sports Management, Virtual, March 2022.

  • Guest lecture @ Lipscomb University for SPM295: COUN 5603/PSG 5603: Research Methods and Statistics, Departments of Clinical Mental Health Counseling/Psychology, Virtual, March 2022.

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

  • Invited talk @ the University of South Carolina, Department of Biostatistics, Columbia, SC, December 2021. [Slides]

  • Invited talk @ Wake Forest University, Department of Mathematics & Statistics, Winston-Salem, NC, November 2021. [Slides]

  • Invited talk @ University of North Carolina at Chapel Hill, Department of Biostatistics, Chapel Hill, NC, November 2021. [Abstract][Slides]

"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

“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,"

  • Poster @ Vanderbilt Institute of Global Health: Global Health Symposium, Nashville, TN, February 2019. [Poster]

  • Poster @ International Workshop on HIV and Hepatitis Observational Databases, Fuengirola, Spain, March 2018. [Poster]

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

  • Contributed poster (speed session) @ Women in Statistics and Data Science, Cincinnati, OH, October 2018. [Abstract][Poster]

  • Contributed poster (speed session) @ Joint Statistical Meetings, Vancouver, BC, August 2018. [Abstract][Poster]

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