• The Korean Journal of Applied Statistics
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• v.25 no.1
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• pp.1-13
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• 2012

An assumption for fractional ages should be made to obtain the net premium of the whole life insurance payable at the moment of death based on the life table. Most existing studies adopt the assumption of the uniform distribution(UDD) for the fractional ages. However, as seasonal changes may frequently lead to the deaths of elderly people, it is questionable whether the assumption of the uniform distribution is the most appropriate one for the entire age intervals. In this article, based on a real mortality data set, the appropriateness of UDD assumption for the entire age intervals is examined. And then we propose a more suitable model for fractional ages. We analyze the effect of UDD assumption through the net premium and the corresponding risk when the true distribution for the fractional ages is not uniform.

• Journal of The Korean Society of Clinical Toxicology
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• v.15 no.2
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• pp.86-93
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• 2017

Purpose: Some advanced countries have reported annual statistics for poisoning based on data from poison control centers. This study was conducted to propose a baseline format and statistics of poisoning in Korea from a national representative database. Methods: This study was a retrospective analysis of poisoning patients based on data from an emergency department (ED) based injury in-depth surveillance project by the Korea Centers for Disease Control and Prevention in 2016. Bite or sting injuries were not included. Variables related to poisoning were summarized using a similar format as the National Poison Data System in the United States. Results: A total of 7,820 poisoning patients presented to 23 EDs. Adults ${\geq}20$ years accounted for 84% of the population, while the proportion of intentional poisoning was 59.4%. The most common poisoning substances were therapeutic drugs (45%), gas (21%), pesticides (15%), and artificial toxic substances (13%). Overall, 34.5% of patients were admitted for further treatment. The mortality was 3.2% (248 cases), and the most common causative substances were carbon monoxide, glyphosate, and paraquat, in order. Conclusion: This study showed the recent status of poisoning in Korea. However, a comprehensive poisoning registry based on poison control centers may be required to provide more accurate national statistics in the future.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.325-334
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• 2015

Elderly suicide rates tend to be high in Korea. Suicide by the elderly is no longer a personal problem; consequently, further research on risk and regional factors is necessary. Disease mapping in epidemiology estimates spatial patterns for disease risk over a geographical region. In this study, we use a simultaneous conditional autoregressive model for spatial correlations between neighboring areas to estimate standard mortality ratios and mapping. The method is illustrated with cause of death data from 2006 and 2010 to analyze regional patterns of elderly suicide in Korea. By considering spatial correlations, the Bayesian spatial models, mean educational attainment and percentage of the elderly who live alone was the significant regional characteristic for elderly suicide. Gibbs sampling and grid method are used for computation.

• Communications for Statistical Applications and Methods
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• v.22 no.1
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• pp.15-18
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• 2015

Reunification, (considered a 'bonanza'), is often expected to bring economic and social benefits as well as solutions to the population aging problem; consequently, the study on the population structure of North Korea is salient. This paper reviews and talks on the North Korean population and implications. In view of reliability and consistency, the North Korean population appears at an explicit change compared to the past, and shows significant differences from the South, implying that it needs significant resources to integrate during reunification. Therefore, it is opportune to discuss the North Korean population prior to the clamor for the reunification.

• Communications for Statistical Applications and Methods
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• v.25 no.5
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• pp.545-557
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• 2018

The inclusion of covariates in the model often affects not only the estimates of meaningful variables of interest but also its statistical significance. Such gap between statistical and subject-matter significance is a critical issue in huge sample studies. A popular huge sample study, the sample cohort data from Korean National Health Insurance Service, showed such gap of significance in the inference for the effect of obesity on cause of mortality, requiring careful consideration. In this regard, this paper proposes a sample size calibration method based on a Monte Carlo t (or z)-test approach without Monte Carlo simulation, and also proposes a test procedure for subject-matter significance using this calibration method in order to complement the deflated p-value in the huge sample size. Our calibration method shows no subject-matter significance of the obesity paradox regardless of race, sex, and age groups, unlike traditional statistical suggestions based on p-values.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.385-388
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• 2008

Recently, occurrence frequency of natural disaster decrease but scale of damage increase remarkably by the Climate change due to global warming. Especially, extreme heat become more critical wether problem in the Korean Peninsula. But, we don't have exact threshold about extreme heat. Therefore, to assess the influences by the extreme heat on personal injury, we analyzed statistics on the causes of the daily mortality. And we developed a threshold for extreme heat health watch warning system.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.653-655
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• 2008

In order to examine the influences by the extreme weather changes on the human physical conditions, we need to undertake human biometeorology research such as the assesment on the extreme heat's influences on human health. Most of the preceding studied have been found to be focused on the influences by extreme heat on the human body, they used statistics on the daily mortality. But thismethod estimate an indirectly influences by extreme heat on the human body. So, to be able to predict the possible directly influences by the extreme heat on the physical conditions. We measure thermal stress by extreme heat.

• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.845-852
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• 2010

The outcomes of counts commonly occur in the area of disease mapping for mortality rates or disease rates. A Poisson distribution is usually assumed as a model of disease rates in conjunction with a gamma prior. The small area typically refers to a small geographical area or demographic group for which very little information is available from the sample surveys. Under this situation the model-based estimation is very popular, in which the auxiliary variables from various administrative sources are used. The empirical Bayes estimator under Poissongamma model has been considered with its accuracy measures. An accuracy measure using a bootstrap samples adjust the underestimation incurred by the posterior variance as an estimator of true mean squared error. We explain the suggested method through a practical dataset of hitters in baseball games. We also perform a Monte Carlo study to compare the accuracy measures of mean squared error.

• Journal of the Korean Society of Radiology
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• v.84 no.4
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• pp.784-791
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• 2023

Based on statistics available in Korea, trauma centers play a critical role in treatment of patients with trauma. Interventional radiologists in trauma centers perform various procedures, including embolization, which constitutes the basic treatment for control of hemorrhage, although interventions such as stent graft insertion may also be used. Although emergency interventional procedures have been used conventionally, rapid and effective hemorrhage control is important in patients with trauma. Therefore, it is important to accurately understand and implement the concept of damage control interventional radiology, which has gained attention in recent times, to reduce preventable trauma-induced mortality rates.

• Korea journal of population studies
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• v.9 no.2
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• pp.93-105
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• 1986

The historical study reveals that our ancestors had maintained a system which could produce data on the number of population and households as well as on their characteristics. For example, such data on age structure of the population, number of births, number of deaths by age & sex, number of in & out migrants were found in an historical document for the year 755. The main purposes of maintaining the system at that time were taxation and conscription. As the system evolves, another function of identifying the legal status of people was also added. Looking into the figures for those days reveals that ommission rates of the number of population and households were high. Thus, in an effort to obtain a reliable data, the annual population survey system was introduced as of 1 September 1896. This date is now cerebrated as the Statistics Day. Since then, the survey system has been diversified. At the present time, there are three major data sources which produce the statistics on population and households: Civil Registration System (vital statistics), Resident Registratiton System (migration statistics) and Population Census. However, these three systems are found to have some problems to produce the accurate data. There are some inherent problems in the registration systems such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non-sampling errors such as errors in coverage, response and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having different three data source. We can find some overlapping problems in laws and difficulties in comparative studies between regions. In the future, these problems should be taken into consideration for the improvement of the quality of statistics on population and households.