Ramon I. Garcia, Ph.D.

Senior Scientist I

Ramon joined Metrum in January 2017. He obtained his Ph.D. in Biostatistics from the University of North Carolina where his dissertation topic was “variable selection in models with missing data using a Bayesian framework”. Ramon did research at the EPA where he investigated identifiability and estimation of physiologically based pharmacokinetic models. Ramon’s interests include model selection and estimation of nonlinear mixed effects models and Bayesian analysis of pharmacokinetic models.

Recent publications by this scientist

Model-based meta-analysis using latent variable modeling to set benchmarks for new treatments of systemic lupus erythematosus

December 11, 2023

Leveraging a sophisticated Bayesian framework and latent variable models, this research compared treatment effects against placebos, setting a new benchmark for assessing efficacy in SLE treatments. This novel MBMA not only benchmarks the efficacy of these compounds but also showcases the application of latent variable models in understanding chronic disease trajectories.

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Choice of Hyperparameters for Spike And Slab Prior, with Application to Dose Optimization in Oncology

October 16, 2023

This poster highlights the use of population pharmacokinetic and exposure-response models with regularized regression using spike and slab priors to optimize dosing for specific patient subpopulations, particularly focusing on the context of valemetostat treatment for Adult T-cell Leukemia / Lymphoma (ATTLL) and Non-Hodgkin’s lymphoma (NHL).

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The combined use of propensity score matching and a joint tumor growth dynamics (TGD) – Overall Survival (OS) model to benchmark the efficacy of new treatments for advanced renal cell carcinoma (RCC)

July 24, 2023

The present work is to establish feasibility of using a joint tumor growth dynamic model (TGDOS) to extrapolate OS and generate a synthetic control arm from historical data by propensity score modeling.

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