Work

Estimation of Probability Measures Using Aggregate Population Data: Analysis of a Car T-cell Cancer Model and Optimal Design of Experiments

Year: 2019

Type: report

Abstract: In this effort we explain fundamental formulations for aggregate data inverse problems requiring estimation of probability distribution parameters.We use as a motivating example a class of CAR T-cell cancer models in mice.After ascertaining results on model stability and sensitivity with respect to parameters, we carry out first elementary computations on the question how much data is needed for successful estimation of probability distributions.This is followed by presentation of an advanced framework for optimal design of experiments to be employed in future efforts.

Source: NCSU Libraries Repository (North Carolina State University Libraries)

Authors: Celia Schacht, Annabel E. Meade, H. T. Banks, Heiko Enderling, Daniel Abate‐Daga

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Air Force Office of Scientific Research

Awards: G1523888516, G3383123045

OpenAlex ID: W2998568845

Cites: 27

Cited by:

Related to: 10