Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/50491
Title: Computer experiments for epidemiological studies : theory, methodology and models
Authors: Guo, Zaiyi
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2011
Source: Guo, Z. Y. (2011). Computer experiments for epidemiological studies : theory, methodology and models. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: There are many types of computer-based models built for various purposes, for demonstration, exploration, prediction, and data analysis to name a few. In this work, we are interested in one particular type: to conduct epidemiological experiments with computer-based models. This is motivated by its potential in offering a less costly, safer, unquestionably ethical and possibly more powerful alternative to the real world scientific studies. There has been extensive research work on computational models that simulate real-life applications which can be used for exploring what-if scenarios in public health concerns, but they often lack a systematic approach in designing and conducting experiments that mirrors its real-life counterpart – that of a rigorous randomized, controlled experiment lauded as the gold standard by medical practitioners.
URI: https://hdl.handle.net/10356/50491
DOI: 10.32657/10356/50491
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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