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ER

Elena Rantou

FDA
Mathematical Statistician, OB, Office of Translational Sciences, CDER
Silver Spring, MD

Elena Rantou was awarded her Ph.D. in Statistics from American University, Washington DC. She has worked in academia and as a statistical consultant for many years. She joined FDA/CDER in 2013. Her work focuses on generic drugs review as well as research related to determining bioequivalence of locally acting drugs, classification / data mining for data fraud detection and similarity of pharmacokinetic profiles.

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato

2:30pm PDT

Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato

4:15pm PDT

What's up with the R consortium? McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

5:57pm PDT

Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

6:30pm PDT

Welcome Reception Bing Concert Hall

10:30am PDT

Importing modern data into R SIEPR 130

11:30am PDT

Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers SIEPR 120

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:18pm PDT

Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics Econ 140

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Statistical assessment of the similarity of amino-acid sequences Sponsor Pavilion

10:35am PDT

Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST) Econ 140

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston