Presentations

Seminars, Refereed and Invited talks

• “Regression analysis for clustered multistate current status data using the pseudo-value approach”, 2023 Symposium on Data Science \& Statistics, St. Louis, MO (May 2023).
• “Regression analysis of clustered time-to-event data when the cluster size is informative: a pseudo-value approach”, Department of Epidemiology and Biostatistics, West Virginia University (March 203).
• “Pseudo-value-based regression analysis of clustered multistate time-to-event data when the cluster size is informative”, Biostatistics Branch, National Cancer Institute (March 2023).
• “Regression analysis of clustered time-to-event data when the cluster size is informative”, Division of Computing, Analytics, and Mathematics, University of Missouri, Kansas City, MO (February 2023).
• “Regression analysis of clustered time-to-event data when the cluster size is informative”, UFSTAT Student Seminar Series, Gainesville, FL (February 2023).
• “Bioinformatics Pre-processing of Microbiome Data with an Application to Metagenomics Forensics”, 2021 Joint Statistical Meetings, Virtual Conference (August 2021).
• “Metagenomic Geolocation Prediction Using an Adaptive Ensemble Classifier”, 28th Conference on Intelligent Systems for Molecular Biology, Virtual Conference (July 2020).
• “Fuzzy Regression Intervals”, Graduate Student Seminar, Department of Mathematics, Boise State University, Boise, ID (December 2017).

Contributed talks

• “Testing for Marginal Covariate Effect when the Subgroup Size Induced by the Covariate is Informative”, ENAR 2024 Spring meeting, Baltimore, MD (March 2024).
• “Regression analysis of multistate current status data with informative cluster sizes: a pseudo-value approach”, UF PHHP Research Day 2023, Gainesville, FL (February 2023).
• “Adjusting for Informative Cluster Size in Pseudo-Value-Based Regression Approaches with Clustered Time-to-Event Data”, 2022 Joint Statistical Meetings, Washington DC (August 2022).
• “Pseudo-value based regression for clustered time-to-event data when cluster size is informative”, UF PHHP Research Day 2022, Virtual Conference (February 2022).
• “Bioinformatics Pre-processing of Microbiome Data with an Application to Metagenomics Forensics”, UF PHHP Research Day 2021, Virtual Conference (February 2021)

Posters

• “Pseudo-Value Regression of Clustered Current Status Data with Informative Cluster or Subcluster Sizes in a Multistate Model”, 2023 Lifetime Data Science Conference, Raleigh, NC (May 2023).
• “Pseudo-Value Regression of Clustered Current Status Data with Informative Cluster or Subcluster Sizes in a Multistate Model”, 2023 Annual ASA Florida Chapter Meeting, Gainesville, FL (March 2023).
• “Pseudo-Value Regression of Clustered Current Status Data with Informative Cluster or Subcluster Sizes in a Multistate Model”, ENAR 2023 Spring meeting, Nashville, TN (March 2023).
• “Pseudo-value based regression for clustered time-to-event data when cluster size is informative”, International Chinese Statistical Association (ICSA) Applied Statistics Symposium, (2022) Gainesville, FL.
• “Pseudo-value based regression for clustered time-to-event data when cluster size is informative”, UF College of Medicine Research Day, (2022) Gainesville, FL.
• “EWMA Control Chart with a Dynamic Sampling Scheme”, Quality and Productivity Research Conference, (2019) Washingtion D.C.
• “Dynamic Sampling Versions of Popular SPC charts for Big Data Analysis”, IMS/ASA Spring Research Conference, (2019) Blacksburg, VA.
• “Statistical Process Control Charts for Monitoring Big Data Streams”, Workshop on Emerging Data Science Methods for Complex Biomedical and Cyber Data, (2019) Augusta, GA.
• “Using Data Science to help Idaho cities make hiring decisions”, Boise State University Service-learning student exhibition, (2018) Boise, ID.
• “Some contributions to the interpretation of Fuzzy Regression Intervals”, Computing Research Association URMD Workshop, (2018) San Diego, CA.