• Title/Summary/Keyword: Statistics data

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Comparison of infant mortality and associated factors between Korean and immigrant women in Korea: an 11-year longitudinal study

  • Kim, Kyung Won;Nho, Ju-Hee;Kim, Sooyoung;Park, Byeongje;Park, Sanghee;Kang, Bobae;Kim, Sun-Hee
    • Women's Health Nursing
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    • v.27 no.4
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    • pp.286-296
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    • 2021
  • Purpose: This study compared infant mortality and its associated factors between Korean and immigrant women using vital statistics gathered by Statistics Korea. Methods: Birth and death statistics from the period between 2009 and 2019 were extracted from the census of population dynamics data of the Microdata Integrated Service, Korea. Statistical data were derived from a complete survey and infant mortality was analyzed from mortality statistics data. Descriptive statistics were used for comparison. Results: The average infant mortality rate (IMR) of Korean women was 2.7 in Korea, which did not change significantly between 2009 and 2019; however, the IMR of immigrant women increased significantly in 2018 to 4.2 and subsequently decreased to 2.6 in 2019. Moreover, the age of Korean and immigrant women at the time of infant death gradually increased from 31.1 years and 25.9 years in 2009 to 32.8 years and 30.9 years in 2019, respectively. The gestational age was lower for deceased infants born to immigrant women (mean, 31.04 weeks; standard deviation [SD], 6.42; median, 30.00) compared to infants born to Korean women (mean, 31.71 weeks; SD, 6.48; median, 32.00). Immigrant women (91.7%) received slightly fewer antenatal care visits compared to Korean women (93.1%). Conclusion: It is vital to devise a plan to lower the IMR of immigrant women in Korea. Moreover, it is necessary to explore the factors related to infant mortality among immigrant women within the context of Korean societal situation, culture, and home environment.

A Strategy for Inference Control of Official Statistics - Centering around the Patent Application Expense Support Project - (공식통계의 추론통제 전략 - 정부의 특허경비지원사업 사례를 중심으로 -)

  • Lee, Duck-Sung;Choi, In-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.199-211
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    • 2009
  • Official statistics which are collected for governments and the community can be used to assess the effectiveness of governments' policies and programs. Thus, official statistics should be collected and presented based on correct findings. Erroneous official statistics will lead to lower quality results in assessing those policies and programs. Many statistical agencies, today, use on-line analytical processing (OLAP) data cubes which support OLAP tasks like aggregation and subtotals as a key part of their dissemination strategy of official statistics. Confidentiality protection in data cubes also should be made. However, sensitive parts of data cubes including micro data may be disclosed by malicious inferences. The authors have suggested an inference control process in OLAP data cubes which preventing erroneous cube creating and securing cubes against privacy breaches. The objective of this study is to establish a strategy for inference control of official statistics using the inference control process by taking the case of the Patent Application Expense Support Project.

The Statistical Indicators of OECD and Korea for Student Health (학생 건강에 대한 OECD와 한국의 통계지표)

  • Shin, Sun-Mi
    • Journal of the Korean Society of School Health
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    • v.25 no.1
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    • pp.105-113
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    • 2012
  • Purpose: The purpose of this study was to identify the statistical indicators of OECD and Korea for student health among Korea's approval statistics. Methods: Searching for health indicators by using Health at a Glance 2009, Society at a Glance 2009, and Education at a Glance 2009 through the formal OECD web site in 2010, and investigating the approval statistics through the Korean formal organizational web sites and published data in 2012. Results: Among OECD indicators, indicators for adolescent health were smoking and alcohol consumption, nutrition, physical activity, overweight and obesity, bullying, risk behaviors, and poverty children. However, most of Korea student health indicators were missing except poverty children and life satisfaction, because OECD has taken chiefly data from Health Behavior in School-aged Children survey (HBSC), international study, which has not been carried out in Korea. The Ministry Of Education, Science And Technology (MEST) and the Ministry of Health and Welfare, and National Youth Policy Institute in Korea have produced the major statistics for student health which was only 11 (1.3%) among 858 approval statistics. Conclusion: Identifying a current Korea school health is essential through participating actively to OECD whose statistic indicators are internationally comparable with Students Physical Development Survey, MEST's approval statistics, using Korea Student Health Examination. It was also suggested that quantitative and qualitative expansions for Korea student health statistics by the activation of approval statistics including processed statistics, and by researchers' easy expanded access to a raw data.

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Building Information Database Using Traditional Korean Medical Statistics (한의학 통계자료를 이용한 지식정보 데이터베이스 구축 연구)

  • Yea, Sang-Jun;Kim, Chul
    • The Journal of Korean Medicine
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    • v.34 no.1
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    • pp.170-178
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    • 2013
  • Objectives: Because TKM-related statistics are scattered in year books, white papers, or web services, it is not easy to use. This study aimed to build a TKM statistical database offering one-stop service. Methods: We collected TKM statistics from year books, white papers, and web services using TKM related keywords which came from the advanced study. Then we removed, merged, or split the statistics looking through data and meta-data of statistics to build a database. Results: First, we classified the statistics into 6 categories and found that the service category was 303, product category 37 and so on. Second, we analyzed the source of statistics and found that the Ministry of Health & Welfare and the Korea statistics were the strongest sources. Third, we analyzed the years of statistics and found that the oldest was 1962, 35% were within the past 3 years, and only 14% were over 10 years old. Finally, we found that the 415 statistics were composed of 1,120 items and the average was 2.70. Conclusions: Through this study we found that more sophisticated TKM statistics must be produced and developed specially in the education, research, and administration categories. We hope that the effort of TKM societies is available to eliminate the lack of statistical producer's understanding about TKM.

A Simple Estimator of Mean Residual Life Function under Random Censoring

  • Jeong, Dong-Myung;Song, Myung-Unn;Song, Jae-Kee
    • Journal of the Korean Data and Information Science Society
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    • v.8 no.2
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    • pp.225-230
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    • 1997
  • We, in this paper, propose an estimator of mean residual life function by using the residual survival function under random censoring and prove the uniform consistency and weak convergence result of this estimator. Also an example is illustrated by the real data.

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Seasonal Cointegration Rank Tests for Daily Data

  • Song, Dae-Gun;Park, Suk-Kyung;Cho, Sin-Sup
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.695-703
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    • 2005
  • This paper extends the maximum likelihood seasonal cointegration procedure developed by Johansen and Schaumburg (1999) for daily time series. The finite sample distribution of the associated rank test for dally data is also presented.

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Partially Observed Data in Spatial Autologistic Models with Applications to Area Prediction in the Plane

  • Kim, Young-Won;Park, Eun-Ha;Sun Y. Hwang
    • Journal of the Korean Statistical Society
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    • v.28 no.4
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    • pp.457-468
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    • 1999
  • Autologistic lattice process is used to model binary spatial data. A conditional probability is derived for the incomplete data where the lattice consists of partially yet systematically observed sites. This result, which is interesting in its own right, is in turn applied to area prediction in the plane.

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A Family of Tests for Trend Change in Mean Residual Life using Censored Data

  • Na, Myung-Hwan;Kim, Jae-Joo
    • International Journal of Reliability and Applications
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    • v.1 no.1
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    • pp.39-47
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    • 2000
  • In a resent paper, Na and Kim(2000) develop a family of test statistics for testing whether or not the mean residual life changes its trend based on complete data and show that the new tests perform better than previously known tests. In this paper, we extend their tests to the randomly censored data. The asymptotic normality of the test statistics is established. Monte Carlo simulations are conducted to compare our tests with a previously known test by the power of tests.

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Some nonparametric test procedure for the multi-sample case

  • Park, Hyo-Il;Kim, Ju-Sung
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.1
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    • pp.237-250
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    • 2009
  • We consider a nonparametric test procedure for the multi-sample problem with grouped data. We construct the test statistics based on the scores obtained from the likelihood ratio principle and derive the limiting distribution under the null hypothesis. Also we illustrate our procedure with an example and obtain the asymptotic properties under the Pitman translation alternatives. Also we discuss some concluding remarks. Finally we derive the covariance between components in the Appendix.

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Mixed Linear Models with Censored Data

  • Ha, Il-do;Lee, Youngjo-;Song, Jae-Kee
    • Journal of the Korean Statistical Society
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    • v.28 no.2
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    • pp.211-223
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    • 1999
  • We propose a simple estimation procedure in the mixed linear models with censored normal data, using both Buckly and James(1979) type pseudo random variables and Lee and Nelder's(1996) estimation procedure. The proposed method is illustrated with the matched pairs data in Pettitt(1986).

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