A statistical framework for identifying outliers in repeated ED50 estimates from pharmacological studies

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School or College School of Medicine
Department Public Health Division
Project type Master of Statistics (MSTAT): Biostatistics Project
Author Tubilla, Alison
Title A statistical framework for identifying outliers in repeated ED50 estimates from pharmacological studies
Date 2025
Description Basic science experiments are fundamental in medical research. Specifically, drug experimentation on mice has been instrumental in the development of many drugs. Anticonvulsant drugs, which are used in the treatment of epilepsy (seizures), are a class of drugs in which animal experimentation has been crucial. Both the discovery and development of antiepileptic compounds have relied heavily on animal experimentation. The Anticonvulsant Drug Development (ADD) lab at the University of Utah is one research center that performs pharmacological studies with antiepileptic drugs used to treat seizures. Any new anticonvulsant drug introduced to clinical use in the past 40 years has been studied in this lab.
Type Text
Publisher University of Utah
Subject ED50 estimates; outlier detection; meta-analysis
Language eng
Rights Management (c) Alison Tubilla
Format Medium application/pdf
ARK ark:/87278/s6rd22aq
Setname ir_dph
ID 2698203
Reference URL https://collections.lib.utah.edu/ark:/87278/s6rd22aq
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