• 제목/요약/키워드: Covariate pattern

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다주파수 생체임피던스 저항을 이용한 당뇨병 환자의 허증 변증 예측 (Prediction of Deficiency Pattern in Diabetic Patients Using Multi-frequency Bioimpedance Resistance)

  • 김가혜;김슬기;차지윤;유호룡;김재욱
    • 동의생리병리학회지
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    • 제36권3호
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    • pp.94-99
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    • 2022
  • The discovery of biomarkers related to pattern identification (PI), the core diagnostic theory of Korean medicine (KM), is one of the methods that can provide objective and reliable evidence by applying PI to clinical practice. In this study, 40 diabetic patients and 41 healthy control subjects recruited from the Korean medicine clinic were examined to determine the human electrical response related to the deficiency pattern, a representative pattern of diabetes. Qi-Blood-Yin-Yang deficiency pattern scores, which are representative deficiency patterns for diabetes mellitus, were obtained through a questionnaire with verified reliability and validity, and the human electrical response was measured non-invasively using a bioimpedance meter. In ANCOVA analysis using gender as a covariate, the 5 kHz frequency resistance and 5-250 kHz frequency reactance were significantly lower in the diabetic group than in non-diabetic control group. In addition, the multiple regression analysis showed a positive correlation (R2=0.11~0.19) between the Yang deficiency pattern score and resistance value for the diabetic group; the correlation was higher at higher frequencies of 50kHz (R2=0.18) and 250kHz (R2=0.19) compared to 5kHz(R2=0.11). In contrast, there was no such significant association in the control group. It implies that bioimpedance resistance measured at finite frequencies may be useful in predicting Yang deficiency, which is closely related to diabetic complications by reflecting the decrease in body water content and metabolism. In the future, large-scale planned clinical studies will be needed to identify biomarkers associated with different types of PI in diabetes.

생존분석 기법을 이용한 기업 도산 예측 모형

  • 남재우;이회경
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2000년도 추계학술대회 및 정기총회
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    • pp.40-43
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    • 2000
  • In this paper, we investigate how the average survival time of listed companies in the Korea Stock Exchange (KSE) are affected by changes in macro-economic environment and covariate vectors which show peculiar financial characteristics of each company. We also apply the survival analysis approach to the dichotomous firm failure prediction and the results show a similar pattern of forecasting performance using the existing dichotomous prediction techniques. These findings suggest that, when we consider a bankruptcy model under a certain economic event, the survival approach can be a useful alternative to the existing dichotomous prediction methods since the approach provides estimation of average survival time as well as simple binary prediction.

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수량화 방법을 이용한 건강행태 유형의 특성에 관한 연구 (Characteristics of health lifestyle patterns by the quantification method)

  • 이순영;김선우
    • Journal of Preventive Medicine and Public Health
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    • 제31권1호
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    • pp.72-81
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    • 1998
  • The purpose of this study was to investigate the relation between health behavior patterns and demographic, socio-economic characteristics, health status, health information in Korea. The quantification method through canonical correlation analysis was conducted to the data from Korea National Health Survey in 1995, which consisted of 5,805 persons. The health lifestyle patterns were quantified as good diet lifestyle, passive lifestyle to the negative direction and drinker lifestyle, smoker lifestyle, hedonic lifestyle and fitness lifestyle to the positive direction. The covariate were related to health lifestyle patterns in the order of sex, age, marital status, occupation, health information, economic status, level of physical labour and health status. Characteristics of male, age below 50, married, blue colored worker, no health information, low in economic status, heavy level of physical labour, and poor in health status were positively related to drinker lifestyle, smoker lifestyle, hedonic lifestyle, fitness lifestyle sequentially.

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Comparative Study on Statistical Packages for Analyzing Logistic Regression - MINITAB, SAS, SPSS, STATA -

  • Kim, Soon-Kwi;Jeong, Dong-Bin;Park, Young-Sool
    • Journal of the Korean Data and Information Science Society
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    • 제15권2호
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    • pp.367-378
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    • 2004
  • Recently logistic regression is popular in a variety of fields so that a number of statistical packages are developed for analyzing the logistic regression. This paper briefly considers the several types of logistic regression models used depending on different types of data. In addition, when four statistical packages (MINTAB, SAS, SPSS and STATA) are used to apply logistic regression models to the real fields respectively, their scope and characteristics are investigated.

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Goodness-of-fit tests for a proportional odds model

  • Lee, Hyun Yung
    • Journal of the Korean Data and Information Science Society
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    • 제24권6호
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    • pp.1465-1475
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    • 2013
  • The chi-square type test statistic is the most commonly used test in terms of measuring testing goodness-of-fit for multinomial logistic regression model, which has its grouped data (binomial data) and ungrouped (binary) data classified by a covariate pattern. Chi-square type statistic is not a satisfactory gauge, however, because the ungrouped Pearson chi-square statistic does not adhere well to the chi-square statistic and the ungrouped Pearson chi-square statistic is also not a satisfactory form of measurement in itself. Currently, goodness-of-fit in the ordinal setting is often assessed using the Pearson chi-square statistic and deviance tests. These tests involve creating a contingency table in which rows consist of all possible cross-classifications of the model covariates, and columns consist of the levels of the ordinal response. I examined goodness-of-fit tests for a proportional odds logistic regression model-the most commonly used regression model for an ordinal response variable. Using a simulation study, I investigated the distribution and power properties of this test and compared these with those of three other goodness-of-fit tests. The new test had lower power than the existing tests; however, it was able to detect a greater number of the different types of lack of fit considered in this study. I illustrated the ability of the tests to detect lack of fit using a study of aftercare decisions for psychiatrically hospitalized adolescents.

대체방법별 GEE추정량 비교 (Comparison of GEE Estimators Using Imputation Methods)

  • 김동욱;노영화
    • 응용통계연구
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    • 제16권2호
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    • pp.407-426
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    • 2003
  • 본 연구에서는 범주형 반복측정자료의 일반화추정방정식(GEE)모형에서 결측이 발생할 경우 결측값 대체(imputation)방법들에 대한 성능을 비교하고자 한다. 설명변수 X가 부분적으로 결측을 갖는 경우 GEE추정량을 계산할 수 없다. 본 논문에서는 시점에 따라 값이 변하는 설명변수에 결측이 있는 경우 GEE모형에서 결측값을 추정하는 7가지의 대체방법을 다루며, 실제자료와 모의실험을 통하여 대체방법별 GEE추정량의 성질을 연구한다. 대체방법별 GEE추정량의 성능을 비교하기 위해 우리는 반응변수가 범주형인 반복측정모형에서 완전자료의 GEE추정량과 완전자료에서 결측을 생성하여 결측값에 각 대체방법을 적용하여 대체한 후 구한 GEE추정량을 비교한다. 대체방법으로는 (1) 단순삭제 (2) 표본 평균대체 (3) 행 평균대체 (4) 횡 시점 회귀대체 (5) 이월대체 (6) 베이지안 붓스트랩 (7) 근사적 베이지안 붓스트랩에 대해서 살펴본다. 결측과정(missing mechanism)은 무시할 수 있는 무응답(ignorable nonresponse)을 가정하며, 결측 발생에 대해서는 원자료의 시점 무응답 패턴(wave nonresponse pattern)을 고려하여 발생시키거나 또는 시점 무응답 패턴을 고려하지 않고 단순임의추출로 결측을 발생시키는 방법을 각각 고려한다.

Preventive Measures Against COVID-19 in Small- and Mid-sized Enterprises from an Early Stage of the Epidemic in Daegu and Gyeongsangbuk-do

  • Baek, Kiook;Kim, Seong-Hui;Park, Chulyong;Sakong, Joon
    • Safety and Health at Work
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    • 제13권3호
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    • pp.294-301
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    • 2022
  • Background: In the early stage of the coronavirus disease 2019 (COVID-19) epidemic, small- and midsized enterprises (SMEs) may be an important transmission consideration. The study aimed to identify the pattern of COVID-19 prevention measures during the outbreaks in Daegu and Gyeongsangbuk-do at the early stage of COVID-19. Moreover, we investigated whether SME size and past experiences affected the preventive measures implemented in the region. Methods: A survey detailing the general characteristics and implementation of 12 preventive activities was conducted in 122 SMEs in Daegu and Gyeongsangbuk-do. The survey was analyzed by size and operation period. Results: The study subjects consisted of 53 (43.4%) workplaces with 1-5 employees, 50 (40.9%) workplaces with 6-30 employees, and 19 (15.6%) workplaces with 31-49 employees. The lowest three items among those surveyed were 'symptomatic workers to stay home for 3-4 days' (17.2%), 'work remotely' (18.9%), and 'video meetings' (20.5%). There were significant differences in the rate of several preventive measures implemented. The larger sized SMEs, the higher the number of implementations (p < 0.01). The operation period had no significant relationship with the implementation of preventive measures. The same pattern was observed in multiple generalized linear regression with covariate adjustment. Conclusion: Preventive measures among SMEs with fewer than 50 employees were identified. Even within SMEs, a gap in preventive measures according to size was confirmed. To prevent the spread of infection and protect workers' right to health, different support for different sized SMEs is necessary.

원형탈모증 환자의 생활 사건 스트레스, 대처방식, A형 행동 패턴에 관한 연구 (The Study of Life Event Stress, Coping Strategy, and Type A Behavior Pattern of Alopecia Areata Patients - Comparison with Fungal Infection Patients -)

  • 현상배;송수길;이동수;이일수;박경호
    • 정신신체의학
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    • 제8권2호
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    • pp.165-171
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    • 2000
  • 연구목적 : 스트레스가 밀접하게 관련된 원형탈모증 환자들이 경험하는 생활사건, 이와 관련된 스트레스의 양, 이에 대한 대처방식 및 환자의 성격유형을 알아보아 이들 요소가 질병의 발병과 악화에 어떤 영향을 주는 지를 비교 분석하여 스트레스와 원형탈모증과의 관련성을 평가하고자 하였다. 방법 : 연구 대상은 피부과 외래를 방문한 원형탈모증 환자 43명과 대조군으로 피부진균감염증 환자 36명으로 하였다. 평가 도구로는 생활사건척도(Scale of Life Events), 대처방식척도(Coping Style Checklist)와 Eysenck A-유형성격검사로 세 가지의 설문조사를 실시하였다. 자료 분석은 연령을 보정한 공분산분석(analysis of covariance)을 적용하였다. 결과 : 원형탈모증군에서 생활 사건 수와 생활 사건의 총합이 유의하게 높았으나 대처 방식과 Eysenck A-유형성격에서는 유의미한 차이를 보이지 않았다. 결론 : 생활 사건에 대한 스트레스 양은 원형탈모증 환자군이 대조군에 비해 유의미하게 높은 수치를 보였고 이는 스트레스가 원형탈모증 발생에 기여한다는 기존의 연구들과 일치하는 소견이다. 후 스트레스와 원형탈모증과 보다 직접적인 연관 관계를 명확히 규명하여 궁극적으로 임상적으로 응용이 되어야 한다고 생각한다.

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Variance Components and Genetic Parameters for Milk Production and Lactation Pattern in an Ethiopian Multibreed Dairy Cattle Population

  • Gebreyohannes, Gebregziabher;Koonawootrittriron, Skorn;Elzo, Mauricio A.;Suwanasopee, Thanathip
    • Asian-Australasian Journal of Animal Sciences
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    • 제26권9호
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    • pp.1237-1246
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    • 2013
  • The objective of this study was to estimate variance components and genetic parameters for lactation milk yield (LY), lactation length (LL), average milk yield per day (YD), initial milk yield (IY), peak milk yield (PY), days to peak (DP) and parameters (ln(a) and c) of the modified incomplete gamma function (MIG) in an Ethiopian multibreed dairy cattle population. The dataset was composed of 5,507 lactation records collected from 1,639 cows in three locations (Bako, Debre Zeit and Holetta) in Ethiopia from 1977 to 2010. Parameters for MIG were obtained from regression analysis of monthly test-day milk data on days in milk. The cows were purebred (Bos indicus) Boran (B) and Horro (H) and their crosses with different fractions of Friesian (F), Jersey (J) and Simmental (S). There were 23 breed groups (B, H, and their crossbreds with F, J, and S) in the population. Fixed and mixed models were used to analyse the data. The fixed model considered herd-year-season, parity and breed group as fixed effects, and residual as random. The single and two-traits mixed animal repeatability models, considered the fixed effects of herd-year-season and parity subclasses, breed as a function of cow H, F, J, and S breed fractions and general heterosis as a function of heterozygosity, and the random additive animal, permanent environment, and residual effects. For the analysis of LY, LL was added as a fixed covariate to all models. Variance components and genetic parameters were estimated using average information restricted maximum likelihood procedures. The results indicated that all traits were affected (p<0.001) by the considered fixed effects. High grade $B{\times}F$ cows (3/16B 13/16F) had the highest least squares means (LSM) for LY ($2,490{\pm}178.9kg$), IY ($10.5{\pm}0.8kg$), PY ($12.7{\pm}0.9kg$), YD ($7.6{\pm}0.55kg$) and LL ($361.4{\pm}31.2d$), while B cows had the lowest LSM values for these traits. The LSM of LY, IY, YD, and PY tended to increase from the first to the fifth parity. Single-trait analyses yielded low heritability ($0.03{\pm}0.03$ and $0.08{\pm}0.02$) and repeatability ($0.14{\pm}0.01$ to $0.24{\pm}0.02$) estimates for LL, DP and parameter c. Medium heritability ($0.21{\pm}0.03$ to $0.33{\pm}0.04$) and repeatability ($0.27{\pm}0.02$ to $0.53{\pm}0.01$) estimates were obtained for LY, IY, PY, YD and ln(a). Genetic correlations between LY, IY, PY, YD, ln(a), and LL ranged from 0.59 to 0.99. Spearman's rank correlations between sire estimated breeding values for LY, LL, IY, PY, YD, ln(a) and c were positive (0.67 to 0.99, p<0.001). These results suggested that selection for IY, PY, YD, or LY would genetically improve lactation milk yield in this Ethiopian dairy cattle population.

과제 제시 유형 및 논항 수에 따른 노년층의 동사 이름대기 수행력 차이: 애니메이션과 그림 비교 (Task-Specific and Argument Structure Effects on Verb Production in Normal Elderly Adults: Animation vs. Picture Comparisons)

  • 최수진;성지은
    • 재활복지
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    • 제18권4호
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    • pp.279-293
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    • 2014
  • 동사 이름대기 수행력은 논항 수에 따라 차이가 나타나지만, 동사 논항 별 제시 방법에 따른 차이를 비교한 연구는 매우 제한적이다. 본 연구에서는 동사 이름대기에서 문제가 나타나기 시작하는 노년층을 대상으로 자극 제시 유형(애니메이션 vs. 그림)을 다르게 하였을 때, 동사 논항 수(1항, 2항, 3항)에 따라 동사 이름대기능력에 어떠한 영향을 미치는지 알아보고자 한다. 대상자는 만 60세 이상의 노년층 42명(남 : 13, 여 : 29)으로 제시 유형이 애니메이션인 집단은 성지은 곽은정(2012)의 연구에 참여한 21명과 그림 집단은 새로 모집된 21명이다. 연구 결과, 집단에 대한 주효과 및 논항 수에 관한 주효과는 통계적으로 유의하지 않았으나, 1항과 3항에서 논항 수와 집단 간 이차상호작용이 통계적으로 유의하였다. 즉, 1항 동사는 그림에 비해, 동작의 주체만을 뚜렷하게 나타내는 애니메이션에서 더 높은 수행력을 보였으나, 동작과 관련된 논항 수가 많은 3항 동사는 정지된 그림 자극에서 이름대기 수행력이 향상되었다. 이는 정상 노년층의 경우에는, 논항의 수가 증가할수록, 애니메이션보다 그림 자극이 동사 이름대기에 도움을 줄 수 있다는 것을 의미한다.