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 |