• Title/Summary/Keyword: baseline category logit model

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A generalized logit model with mixed effects for categorical data (다가자료에 대한 혼합효과모형)

  • 최재성
    • The Korean Journal of Applied Statistics
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    • v.15 no.1
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    • pp.129-137
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    • 2002
  • This paper suggests a generalized logit model with mixed effects for analysing frequency data in multi-contingency table. In this model nominal response variable is assumed to be polychotomous. When some factors are fixed but considered as ordinal and others are random, this paper shows how to use baseline-category logits to incoporate the mixed-effects of those factors into the model. A numerical algorithm was used to estimate model parameters by using marginal log-likelihood.

Prediction of the Number of Food Poisoning Occurrences by Microbes (원인균별 식중독 발생 건수 예측)

  • Yeo, In-Kwon
    • The Korean Journal of Applied Statistics
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    • v.26 no.6
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    • pp.923-932
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    • 2013
  • This paper proposes a method to predict the number of foodborne disease outbreaks by microbes. The weekly data of food poisoning occurrences by microbes in Korea contain many zero-valued observations and have dependency between outbreaks. In order to model both phenomena, the number of food poisonings is predicted by an autoregressive model and the probabilities of food poisoning occurrences by microbes (given the total of food poisonings) are estimated by the baseline category logit model. The predicted number of foodborne disease outbreaks by a microbe is obtained by multiplying the predicted number of foodborne disease outbreaks and the estimated probability of the food poisoning by the corresponding microbe. The mean squared error and the mean absolute value error are evaluated to compare the performances of the proposed method and the zero-inflated model.

A generalized logit model with mixed effects for categorical data (다가자료에 대한 혼합효과모형)

  • Choi, Jae-Sung
    • 한국데이터정보과학회:학술대회논문집
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    • 2001.10a
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    • pp.25-33
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    • 2001
  • This paper suggests a generalized logit model with mixed effects for analysing frequency data in multi-contingency table. In this model nominal response variable is assumed to be polychotomous. When some factors are fixed but condisered as ordinal and others are random, this paper shows how to use baseline-category logits to incoporate the mixed-effects of those factors into the model. A numerical algorithm was used to estimate model parameters by using marginal log-likelihood.

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Association between perceived oral health and perceived oral symptoms among adults in Daegu (성인의 구강건강인식과 주관적 구강증상과의 관련성)

  • Lee, Hyung-Suk
    • Journal of Korean society of Dental Hygiene
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    • v.10 no.4
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    • pp.671-681
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    • 2010
  • Objectives : This study was to evaluate the association between perceived oral health and perceived oral symptoms among adults in Daegu. Methods : All 437 subjects aged 18 or more selected convenience sampling were surveyed cross-sectionally via the self-administrated questionnaire. The questionnaire was measured perceived oral symptoms and perceived oral health, and also obtained socio-demographic characteristics, oral health behaviors. To assess the crude associations, bivariate analysis were applied. For the adjusted association between perceived oral health and perceived oral symptoms, multivariate linear regression multiple regression analysis was conducted. Results : 33.2% of the adults rated their perceived oral health was good, and 30.9% as poor. Older age, low education, had peridontal disease was negatively perceived their oral health(p<0.05). As oral symptoms were more frequently perceived, the perceived oral health were negative. Among the factors of perceived oral symptoms, trouble biting/chewing, poor periodontal status, trouble of appearance of teeth were positively associated with the perceived oral health after adjusting for socio-demographic characteristics, oral health behaviors in the regression model. Age, education, income, recent dental treatment, and all perceived oral symptoms showed the highest impact of association with perceived oral health in the baseline-category logit model. Conclusions : Perceived oral health are significantly associated with perceived oral symptoms among adults in Daegu. The findings of this study will be helpful to design plans of oral health promotion in welfare institutions to increase the oral health related quality of life among the adults.