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\n \n 2023\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n \n Logistic regression model with TreeNet and association rules analysis: applications with medical datasets.\n \n \n \n \n\n\n \n Changpetch, P.\n\n\n \n\n\n\n
Communications in Statistics: Simulation and Computation, 52(6): 2633 – 2645. 2023.\n
Cited by: 1\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@ARTICLE{Changpetch20232633,\n\tauthor = {Changpetch, Pannapa},\n\ttitle = {Logistic regression model with TreeNet and association rules analysis: applications with medical datasets},\n\tyear = {2023},\n\tjournal = {Communications in Statistics: Simulation and Computation},\n\tvolume = {52},\n\tnumber = {6},\n\tpages = {2633 – 2645},\n\tdoi = {10.1080/03610918.2021.1912764},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104398942&doi=10.1080%2f03610918.2021.1912764&partnerID=40&md5=1c5215eb3e1214534faaf7055a8830c8},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 1}\n}\n\n\n
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\n \n 2021\n \n \n (3)\n \n \n
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\n\n \n \n \n \n \n \n Data mining techniques: Which one is your favorite?.\n \n \n \n \n\n\n \n Changpetch, P.; and Reid, M.\n\n\n \n\n\n\n
Journal of Education for Business, 96(3): 143 – 148. 2021.\n
Cited by: 2\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@ARTICLE{Changpetch2021143,\n\tauthor = {Changpetch, Pannapa and Reid, Moya},\n\ttitle = {Data mining techniques: Which one is your favorite?},\n\tyear = {2021},\n\tjournal = {Journal of Education for Business},\n\tvolume = {96},\n\tnumber = {3},\n\tpages = {143 – 148},\n\tdoi = {10.1080/08832323.2020.1781753},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087455138&doi=10.1080%2f08832323.2020.1781753&partnerID=40&md5=374e55230bc624bd3c0245329f627ce7},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 2}\n}\n\n\n
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\n\n \n \n \n \n \n \n Multinomial logit model building via treenet and association rules analysis: An application via a thyroid dataset.\n \n \n \n \n\n\n \n Changpetch, P.\n\n\n \n\n\n\n
Symmetry, 13(2): 1 – 18. 2021.\n
Cited by: 2; All Open Access, Gold Open Access\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@ARTICLE{Changpetch20211,\n\tauthor = {Changpetch, Pannapa},\n\ttitle = {Multinomial logit model building via treenet and association rules analysis: An application via a thyroid dataset},\n\tyear = {2021},\n\tjournal = {Symmetry},\n\tvolume = {13},\n\tnumber = {2},\n\tpages = {1 – 18},\n\tdoi = {10.3390/sym13020287},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100813744&doi=10.3390%2fsym13020287&partnerID=40&md5=561e0b25d780831d68d59cd280945f7f},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 2; All Open Access, Gold Open Access}\n}\n\n\n
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\n\n \n \n \n \n \n \n Integrating data mining techniques for naïve bayes classification: Applications to medical datasets.\n \n \n \n \n\n\n \n Changpetch, P.; Pitpeng, A.; Hiriote, S.; and Yuangyai, C.\n\n\n \n\n\n\n
Computation, 9(9). 2021.\n
Cited by: 5; All Open Access, Gold Open Access\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@ARTICLE{Changpetch2021,\n\tauthor = {Changpetch, Pannapa and Pitpeng, Apasiri and Hiriote, Sasiprapa and Yuangyai, Chumpol},\n\ttitle = {Integrating data mining techniques for naïve bayes classification: Applications to medical datasets},\n\tyear = {2021},\n\tjournal = {Computation},\n\tvolume = {9},\n\tnumber = {9},\n\tdoi = {10.3390/computation9090099},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115322791&doi=10.3390%2fcomputation9090099&partnerID=40&md5=bdd76fa8fd0fb861740326bed846af5c},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 5; All Open Access, Gold Open Access}\n}\n\n\n
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\n \n 2020\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n \n An analysis of health insurance data using the directed acyclic graph: An application in Nigeria.\n \n \n \n \n\n\n \n Changpetch, P.; and Akinyemi, M. I.\n\n\n \n\n\n\n
Open Public Health Journal, 13(1): 718 – 722. 2020.\n
Cited by: 0; All Open Access, Gold Open Access\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@ARTICLE{Changpetch2020718,\n\tauthor = {Changpetch, Pannapa and Akinyemi, Mary I.},\n\ttitle = {An analysis of health insurance data using the directed acyclic graph: An application in Nigeria},\n\tyear = {2020},\n\tjournal = {Open Public Health Journal},\n\tvolume = {13},\n\tnumber = {1},\n\tpages = {718 – 722},\n\tdoi = {10.2174/1874944502013010718},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100922297&doi=10.2174%2f1874944502013010718&partnerID=40&md5=a487e355111a8b85cae76c73d110a745},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 0; All Open Access, Gold Open Access}\n}\n\n\n
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\n \n 2019\n \n \n (1)\n \n \n
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\n \n \n
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\n\n \n \n \n \n \n \n Associations and determinants of tobacco consumption in Thailand.\n \n \n \n \n\n\n \n Changpetch, P.; and Haughton, D.\n\n\n \n\n\n\n
Kasetsart Journal of Social Sciences, 40(1): 213 – 224. 2019.\n
Cited by: 1; All Open Access, Gold Open Access\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@ARTICLE{Changpetch2019213,\n\tauthor = {Changpetch, Pannapa and Haughton, Dominique},\n\ttitle = {Associations and determinants of tobacco consumption in Thailand},\n\tyear = {2019},\n\tjournal = {Kasetsart Journal of Social Sciences},\n\tvolume = {40},\n\tnumber = {1},\n\tpages = {213 – 224},\n\tdoi = {10.1016/j.kjss.2017.07.009},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044723855&doi=10.1016%2fj.kjss.2017.07.009&partnerID=40&md5=28685f4e8f845b1f6f8a712cda656251},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 1; All Open Access, Gold Open Access}\n}\n\n\n
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\n \n 2018\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n \n Integrating Spatial-Temporal Risk Factors for an Ambulance Allocation Strategy: A Case Study in Bangkok.\n \n \n \n \n\n\n \n Chaicharoenwut, P.; Koiwanit, J.; Changpetch, P.; Buatongkue, S.; and Yuangyai, C.\n\n\n \n\n\n\n 2018.\n
Cited by: 2; All Open Access, Gold Open Access, Green Open Access\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@CONFERENCE{Chaicharoenwut2018,\n\tauthor = {Chaicharoenwut, Pakinai and Koiwanit, Jarotwan and Changpetch, Pannapa and Buatongkue, Sirisuda and Yuangyai, Chumpol},\n\ttitle = {Integrating Spatial-Temporal Risk Factors for an Ambulance Allocation Strategy: A Case Study in Bangkok},\n\tyear = {2018},\n\tjournal = {MATEC Web of Conferences},\n\tvolume = {192},\n\tdoi = {10.1051/matecconf/201819201038},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053211766&doi=10.1051%2fmatecconf%2f201819201038&partnerID=40&md5=c451df09e624f0bba4b55ec574625eda},\n\ttype = {Conference paper},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 2; All Open Access, Gold Open Access, Green Open Access}\n}\n\n\n
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\n \n 2017\n \n \n (1)\n \n \n
\n
\n \n \n
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\n\n \n \n \n \n \n \n Alcohol consumption and age in Thailand from 2006 to 2011: An exploration of non-linear relationships.\n \n \n \n \n\n\n \n Changpetch, P.; and Haughton, D.\n\n\n \n\n\n\n
Open Public Health Journal, 10: 17 – 24. 2017.\n
Cited by: 1; All Open Access, Gold Open Access, Green Open Access\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@ARTICLE{Changpetch201717,\n\tauthor = {Changpetch, Pannapa and Haughton, Dominique},\n\ttitle = {Alcohol consumption and age in Thailand from 2006 to 2011: An exploration of non-linear relationships},\n\tyear = {2017},\n\tjournal = {Open Public Health Journal},\n\tvolume = {10},\n\tpages = {17 – 24},\n\tdoi = {10.2174/1874944501610010017},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018540815&doi=10.2174%2f1874944501610010017&partnerID=40&md5=8db1bd6f7b757aea89305bcb449483db},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 1; All Open Access, Gold Open Access, Green Open Access}\n}\n\n\n
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\n \n 2013\n \n \n (2)\n \n \n
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\n \n \n
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\n\n \n \n \n \n \n \n Model selection for logistic regression via association rules analysis.\n \n \n \n \n\n\n \n Changpetch, P.; and Lin, D. K.\n\n\n \n\n\n\n
Journal of Statistical Computation and Simulation, 83(8): 1415 – 1428. 2013.\n
Cited by: 10\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@ARTICLE{Changpetch20131415,\n\tauthor = {Changpetch, Pannapa and Lin, Dennis K.J.},\n\ttitle = {Model selection for logistic regression via association rules analysis},\n\tyear = {2013},\n\tjournal = {Journal of Statistical Computation and Simulation},\n\tvolume = {83},\n\tnumber = {8},\n\tpages = {1415 – 1428},\n\tdoi = {10.1080/00949655.2012.662231},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84882695796&doi=10.1080%2f00949655.2012.662231&partnerID=40&md5=daa20025b178230e8dbd3e8d37206a6c},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 10}\n}\n\n\n
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\n\n \n \n \n \n \n \n Selection of multinomial logit models via association rules analysis.\n \n \n \n \n\n\n \n Changpetch, P.; and Lin, D. K.\n\n\n \n\n\n\n
Wiley Interdisciplinary Reviews: Computational Statistics, 5(1): 68 – 77. 2013.\n
Cited by: 18\n\n
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@ARTICLE{Changpetch201368,\n\tauthor = {Changpetch, Pannapa and Lin, Dennis K.J.},\n\ttitle = {Selection of multinomial logit models via association rules analysis},\n\tyear = {2013},\n\tjournal = {Wiley Interdisciplinary Reviews: Computational Statistics},\n\tvolume = {5},\n\tnumber = {1},\n\tpages = {68 – 77},\n\tdoi = {10.1002/wics.1242},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871831057&doi=10.1002%2fwics.1242&partnerID=40&md5=49eb5be37749da711e650905a8e45efd},\n\ttype = {Review},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 18}\n}\n\n\n
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\n \n 2008\n \n \n (1)\n \n \n
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\n \n 2007\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n \n Directed monitoring using Cuscore charts for seasonal time series.\n \n \n \n \n\n\n \n Nembhard, H. B.; and Changpetch, P.\n\n\n \n\n\n\n
Quality and Reliability Engineering International, 23(2): 219 – 232. 2007.\n
Cited by: 11\n\n
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Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@ARTICLE{Nembhard2007219,\n\tauthor = {Nembhard, Harriet Black and Changpetch, Pannapa},\n\ttitle = {Directed monitoring using Cuscore charts for seasonal time series},\n\tyear = {2007},\n\tjournal = {Quality and Reliability Engineering International},\n\tvolume = {23},\n\tnumber = {2},\n\tpages = {219 – 232},\n\tdoi = {10.1002/qre.786},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33947157706&doi=10.1002%2fqre.786&partnerID=40&md5=3c29273f9a91c7edf04aace0795074da},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 11}\n}\n\n\n
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