Nonlinear Pharmacokinetic Models Based on Statistical Regression Methods Using Secondary Data

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dc.contributor.advisorVarela, Juan
dc.contributor.authorOrtiz Stewart, Ishmael
dc.date.accessioned2023-09-29T15:10:31Z
dc.date.available2023-09-29T15:10:31Z
dc.date.issued2023-08-31
dc.descriptionFinal Research Poster for the Undergraduate Research Program for Honor Students HSI STEM Granten_US
dc.description.abstractThis research is about creating nonlinear pharmacokinetic models to better understand the behaviors that take place. From there, see patterns, relations between behaviors, and statistical techniques and, as an end goal, not have to rely on living test subjects to understand what the behaviors will be.en_US
dc.description.sponsorshipThis research project was supported by the HSI STEM Title III Polytechnic University of Puerto Rico “A Multifaceted Approach to Student Centered STEM Education” P031C210139en_US
dc.identifier.citationOrtiz Stewart, I., & Valera, J. (2023). Nonlinear pharmacokinetic models based on statistical regression methods using secondary data [Research Poster]. Undergraduate Research Program for Honor Students HSI STEM Grant, Polytechnic University of Puerto Ricoen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1977
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofseriesUndergraduate Research Program For Honor Students HSI STEM Grant 2022-2023;
dc.subjectPolytechnic University of Puerto Rico--Undergraduates--Postersen_US
dc.subject.lcshPharmacokinetics
dc.subject.lcshRegression analysis--Data processing
dc.titleNonlinear Pharmacokinetic Models Based on Statistical Regression Methods Using Secondary Dataen_US
dc.typePosteren_US

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