Open AccessLinear Regression Metamodeling as a Tool to Summarize and Present Simulation Model Results
Author(s) -
Hawre Jalal,
Bryan Dowd,
François Sainfort,
Karen M. Kuntz
Publication year - 2013
Publication title -
medical decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 103
eISSN - 1552-681X
pISSN - 0272-989X
DOI - 10.1177/0272989x13492014
Subject(s) - metamodeling , sensitivity (control systems) , regression , computer science , linear regression , regression analysis , linear model , probabilistic logic , statistics , data mining , mathematics , machine learning , artificial intelligence , engineering , electronic engineering , programming language
Modelers lack a tool to systematically and clearly present complex model results, including those from sensitivity analyses. The objective was to propose linear regression metamodeling as a tool to increase transparency of decision analytic models and better communicate their results.