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Title: Stochastic response surface methodology: A study in the human health area

Abstract

In this paper we review Stochastic Response Surface Methodology as a tool for modeling uncertainty in the context of Risk Analysis. An application in the survival analysis in the breast cancer context is implemented with R software.

Authors:
 [1];  [1]
  1. Departamento de Ciências e Tecnologia, Universidade Aberta (Portugal)
Publication Date:
OSTI Identifier:
22391158
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 1648; Journal Issue: 1; Conference: ICNAAM-2014: International Conference on Numerical Analysis and Applied Mathematics 2014, Rhodes (Greece), 22-28 Sep 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; COMPUTER CODES; COMPUTERIZED SIMULATION; MAMMARY GLANDS; NEOPLASMS; PUBLIC HEALTH; REVIEWS; RISK ASSESSMENT; STOCHASTIC PROCESSES; SURFACES

Citation Formats

Oliveira, Teresa A., E-mail: teresa.oliveira@uab.pt, Oliveira, Amílcar, Centro de Estatística e Aplicações, Universidade de Lisboa, and Leal, Conceição. Stochastic response surface methodology: A study in the human health area. United States: N. p., 2015. Web. doi:10.1063/1.4913052.
Oliveira, Teresa A., E-mail: teresa.oliveira@uab.pt, Oliveira, Amílcar, Centro de Estatística e Aplicações, Universidade de Lisboa, & Leal, Conceição. Stochastic response surface methodology: A study in the human health area. United States. https://doi.org/10.1063/1.4913052
Oliveira, Teresa A., E-mail: teresa.oliveira@uab.pt, Oliveira, Amílcar, Centro de Estatística e Aplicações, Universidade de Lisboa, and Leal, Conceição. 2015. "Stochastic response surface methodology: A study in the human health area". United States. https://doi.org/10.1063/1.4913052.
@article{osti_22391158,
title = {Stochastic response surface methodology: A study in the human health area},
author = {Oliveira, Teresa A., E-mail: teresa.oliveira@uab.pt and Oliveira, Amílcar and Centro de Estatística e Aplicações, Universidade de Lisboa and Leal, Conceição},
abstractNote = {In this paper we review Stochastic Response Surface Methodology as a tool for modeling uncertainty in the context of Risk Analysis. An application in the survival analysis in the breast cancer context is implemented with R software.},
doi = {10.1063/1.4913052},
url = {https://www.osti.gov/biblio/22391158}, journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 1648,
place = {United States},
year = {Tue Mar 10 00:00:00 EDT 2015},
month = {Tue Mar 10 00:00:00 EDT 2015}
}