• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.199-207
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• 2021

This study was attempted to understand the effect of the violence victim experience of Korean adolescents on smoking using the data of the 15th (2019) online youth health behavior survey. The subjects of this study were 57,303 people, and the data were analyzed using the SPSS / Win 26.0 program for frequency analysis of complex samples, cross sample analysis (Rao-Scott ��2 test), and logistic regression analysis of complex samples. The main result was 12.7% of the smoking subjects. Those who smoked were significantly more 9.6% and 22.0%, respectively, compared to those who had no more than 1 or 2 times of violence. Smoking of Korean adolescents adjusted for gender, grade, academic record, economic status, drinking, family living, and usual stress increased the odds ratio for smoking by 1.66 times when the degree of violence damage experience increased by 1 unit. As a result of the above, as the degree of violence victimization of adolescents increases, the likelihood of smoking increases. Therefore, it is necessary to multidisciplinary convergence effort to the prevention and management of violence of adolescents, and to reduce the smoking of adolescents.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.123-131
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• 2024

The purpose of this study is to identify the prevalence of diabetes and related factors and thereby to provide fundamental data for the prevention and management of diabetes. This study is a secondary analysis based on the raw data from the Korea National Health and Nutrition Examination Survey (KNHANES) for the years 2011 and 2021. Analysis method was frequency analysis, complex samples Chi-square test, complex samples logistic regression analysis. As a result of the study, the factors related to diabetes were sex, age, education level, hypertension, dyslipidemia, and subjective health recognition in 2011(Negelkerke R²=.255), and sex, age, education level, hypertension, dyslipidemia, mother's diabetes, and subjective health recognition in 2021(Negelkerke R²=.327). This study is meaningful in that the factors related to diabetes were identified according to time trend, and the changes in the related factors were confirmed. Development and application of an intervention program to prevent diabetes are necessary.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1155-1167
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• 2009

We made a new sample design for life and consciousness survey of Kyungpook people in 2007. We used the 10% sample survey data of 2005 population and housing census as a survey population. After stratification, we allocate proportionally samples within strata after examining various characteristics in previous survey, which includes economic activity state, an income level per year, and housing possession. And we calculated weight in a new sample design and derived estimators and a formula of standard error using the weights.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.675-694
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• 2008

We propose a new sampling design for the Korean Livestock Production Cost Survey. In this sampling design, the survey population is derived from the 2005’s agricultural census of Korea. And coefficient of variation(CV) is estimated from the current livestock production cost survey data, and the estimated CV’s are used to find the optimal sample size which satisfies the predetermined precision of estimation. In order to save the enumeration cost, the agriculture enumeration districts are used as a primary sampling unit(psu). Final sample is selected by double sampling. Also, we propose the estimator which is able to reflect the change of the population of livestock production households.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.815-824
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• 2013

Traditional Pearson chi-squared test is not appropriate for the data collected by the complex sample design. When one uses the traditional Pearson chi-squared test to the complex sample categorical data, it may give wrong test results, and the error may occur not only due to the biased variance estimators but also due to the biased point estimators of cell proportions. In this study, the design based consistent Wald test statistics was derived for k-population homogeneity test, and the traditional Pearson chi-squared test statistics was partitioned into three parts according to the causes of error; the error due to the bias of variance estimator, the error due to the bias of cell proportion estimator, and the unseparated error due to the both bias of variance estimator and bias of cell proportion estimator. An analysis was conducted for empirical results of the relative size of each error component to the Pearson chi-squared test statistics. The second year data from the fourth Korean national health and nutrition examination survey (KNHANES, IV-2) was used for the analysis. The empirical results show that the relative size of error from the bias of variance estimator was relatively larger than the size of error from the bias of cell proportion estimator, but its degrees were different variable by variable.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.357-365
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• 2019

Purposes: This study aimed to investigate the differences in the health-related quality of life (EQ-5D) in Korean adults according to gender, age period, and the metabolic syndrome or not. Methods: The study subjects were 5,021 adults, who completed all of the KNHANES VI-2. The subjects were categorized, using life periods, into young, middle-aged, and older adults. Methods were selected based on the KNHANES VI-2. IBM SPSS 25.0 was used for a complex samples cross-tabulation, general linear model and a complex samples t-test. Results: The HRQoL (EQ-5D) was higher in male(p<.001), in the young group by age(p<.001), and in the non-metabolic syndrome group(p>.05). In condition of the metabolic syndrome by gender, the female group's EQ-5D was higher in the non-metabolic syndrome group; there was the result of the complex samples independent t-test revealed significant differences in EQ-5D(p<.01). Conclusion: The HRQoL (EQ-5D) was higher in male, young, and in the non-metabolic syndrome group. Also, in condition of metabolic syndrome in female, there was the result of the complex samples independent t-test revealed significant differences in EQ-5D.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1115-1128
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• 2011

Cut-off sampling that discards a part of the population from the sampling frame, is a widely used method for a highly skewed population like a business survey. Usually to the estimate of population total, we need to estimate the total of the take-nothing stratum. Many estimators have been developed to estimate the total of the take-nothing stratum. In this paper, we suggest a new composite estimator which combines the estimator suggested by Sarndal et al. (1992) and a ratio estimator obtained by small samples from the take-nothing stratum. Small simulation studies are performed for the comparison of the estimators and we confirm that the new suggested estimator is superior to the others.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.13-18
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• 2002

본 논문에서는 급변하는 농촌의 환경을 충분히 반영할 수 있도록 1997년도에 설계되어 사용되고 있는 현행의 농가경제조사를 개선하였다. 새로운 표본 조사구를 선정하기 위하여 1999년도와 2000년도 농가경제조사 조사데이터와 2000년에 실시된 농어업총조사 결과를 심도 있게 분석하였다. 이를 기초로 현재의 농촌 실정에 적합한 조사모집단을 새롭게 구성하였고, 현재의 농촌 환경을 반영할 수 있는 층화 기준을 마련하여 표본 조사구를 추출하였다. 또한, 논벼를 비롯한 6개 주요작물들에 대한 농산물생산비조사의 정도(精度) 향상을 위해서 각 작물별 주산지를 표본 조사구로 선정하였다.

• Journal of the korean academy of Pediatric Dentistry
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• v.50 no.1
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• pp.113-120
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• 2023

Restoring composite resins with the optimal shades for all primary teeth is a great challenge for pediatric dentists. A newly developed single-shade composite resin can exhibit a color similar to that of the surrounding tooth structure based on the structural color phenomenon. This study aims to evaluate the color adjustment potential (CAP) of a single-shade composite resin compared to conventional multi-shade composite resins in primary teeth. A single-shade composite resin and two conventional multi-shade composite resins were included in this study. Two types of specimens, a single specimen and a dual specimen, were evaluated. For single specimens, duplications of the primary second molar denture teeth were made using experimental composite resins. For dual specimens, cavities were prepared on the buccal surfaces of extracted primary second molars and restored with experimental composite resins. The L^*, a^*, and b^* values were measured using a colorimeter for the extracted teeth and specimens. The mean ΔE_ab^* values for single and dual specimens and CAP were calculated. Bonferroni post-hoc analysis was performed to confirm the statistical significance between the ΔE_ab^* and CAP values of the experimental resins. Among the single specimens, the single-shade composite resin showed significantly higher ΔE_Single compared to other composite resins (p < 0.0167). There was no significant difference between ΔE_Dual for all experimental resins. The single-shade composite resin showed highest CAP compared to other multi-shade composite resins. A single-shade composite resin exhibited the most prominent color adaptability compared to other conventional multi-shade composite resins for primary second molars. A single-shade composite resin can simplify shade matching and provide esthetic outcomes for the restoration of primary second molars.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.10-21
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• 2013

This study suggested combined filtering model to eliminate outlier travel time data in transportation information system, and it was based on Median Absolute Deviation and Voting Rule. This model applied Median Absolute Deviation (MAD) method to follow normal distribution as first filtering process. After that, Voting rule is applied to eliminate remaining outlier travel time data after Median Absolute Deviation. In Voting Rule, travel time samples are judged as outliers according to travel-time difference between sample data and mean data. Elimination or not of outliers are determined using a majority rule. In case study of national highway No. 3, combined filtering model selectively eliminated outliers only and could improve accuracy of estimated travel time.