Developing the Index of Foodborne Disease Occurrence

Choi, Kook-Yeol; Kim, Byungsoo; Bae, Whasoo; Jung, Wooseok; Cho, Young-Joon

doi:10.5351/kjas.2008.21.4.649

Cited by 6 publications

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“…Kim and Choi (2008) used the weighted average of frequencies for the concepts obtained from the survey to get the digital culture index. Choi et al (2008) developed the foodborne index via the statistical approach, which is better in explaining the foodborne disease occurrence than the original index given by the Korean Meterological Administration.…”

Section: Introductionmentioning

confidence: 99%

Computing the Repurchase Index Based on Statistical Modeling

Bae¹,

Jung²,

Lee³

2010

Korean Journal of Applied Statistics

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Section: Introductionmentioning

confidence: 99%

Computing the Repurchase Index Based on Statistical Modeling

Bae¹,

Jung²,

Lee³

2010

Korean Journal of Applied Statistics

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An Analysis of the Correlation between Alopecia and Chief Complaints

Lee¹,

Jang²,

Jeong³

2011

Healthc Inform Res

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ObjectivesIn this study, we measured the extent of ten levels of classified symptoms by 300 (male and female) patients visiting the hair loss clinics of "S" hospitals in Gangbuk and Gangnam between January 2009 and June 2011 by analyzing the patients' chief complaints.MethodsThe method of measurement was based on a symptom questionnaire possessing 51 categories. Through the statistical analysis of data mining techniques, decision trees, and logistic regression, we derived a logistic regression model and decision tree model that improved both the response rate and significant hair loss-related characteristics of the questionnaire.ResultsThe results of this study indicate that dry hair, seborrheic scalps and skin, tobacco and/or coffee addiction, anxiety, nausea, indigestion, and facial flushing correlate to hair loss.ConclusionsWe anticipate that the subjective symptoms of hair loss can provide a foundation for preventing secondary diseases and provide clinical data information during the period of treatment. This can contribute to the improvement of patient satisfaction after customized treatment.

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Analysis of Food Poisoning via Zero Inflation Models

Jung¹,

Kim²,

Cho³

et al. 2012

Korean Journal of Applied Statistics

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Poisson regression and negative binomial regression are usually used to analyze counting data; however, these models are unsuitable for fit zero-inflated data that contain unexpected zero-valued observations. In this paper, we review the zero-inflated regression in which Bernoulli process and the counting process are hierarchically mixed. It is known that zero-inflated regression can efficiently model the over-dispersion problem. Vuong statistic is employed to compare performances of the zero-inflated models with other standard models.

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Developing the Index of Foodborne Disease Occurrence

Cited by 6 publications

References 0 publications

Computing the Repurchase Index Based on Statistical Modeling

Computing the Repurchase Index Based on Statistical Modeling

An Analysis of the Correlation between Alopecia and Chief Complaints

Analysis of Food Poisoning via Zero Inflation Models

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