Computer experiments for epidemiological studies : theory, methodology and models
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 p...
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| Format: | Thesis |
| Language: | English |
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2012
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| Online Access: | https://hdl.handle.net/10356/50491 |
| _version_ | 1826127470110179328 |
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| author | Guo, Zaiyi |
| author2 | Huang Shell Ying |
| author_facet | Huang Shell Ying Guo, Zaiyi |
| author_sort | Guo, Zaiyi |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:09:25Z |
| format | Thesis |
| id | ntu-10356/50491 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:09:25Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/504912023-03-04T00:41:22Z Computer experiments for epidemiological studies : theory, methodology and models Guo, Zaiyi Huang Shell Ying Stephen John Turner Tay Joc Cing School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences 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. DOCTOR OF PHILOSOPHY (SCE) 2012-06-06T02:54:20Z 2012-06-06T02:54:20Z 2011 2011 Thesis Guo, Z. Y. (2011). Computer experiments for epidemiological studies : theory, methodology and models. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/50491 10.32657/10356/50491 en 212 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Guo, Zaiyi Computer experiments for epidemiological studies : theory, methodology and models |
| title | Computer experiments for epidemiological studies : theory, methodology and models |
| title_full | Computer experiments for epidemiological studies : theory, methodology and models |
| title_fullStr | Computer experiments for epidemiological studies : theory, methodology and models |
| title_full_unstemmed | Computer experiments for epidemiological studies : theory, methodology and models |
| title_short | Computer experiments for epidemiological studies : theory, methodology and models |
| title_sort | computer experiments for epidemiological studies theory methodology and models |
| topic | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences |
| url | https://hdl.handle.net/10356/50491 |
| work_keys_str_mv | AT guozaiyi computerexperimentsforepidemiologicalstudiestheorymethodologyandmodels |