• The Journal of Advanced Prosthodontics
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• 제15권6호
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• pp.302-314
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• 2023

PURPOSE. The aim of this study was to classify the shapes of retromolar pads and assess their morphometric differences using a 3D model. MATERIALS AND METHODS. Two hundred fully edentulous or Kennedy Class I partially edentulous patients (400 retromolar pads) were enrolled. Scan data of the definitive mandibular casts produced through functional impressions were obtained using a 3D laser scanner. Seven parameters (transverse diameter, longitudinal diameter, transverse-contour length, longitudinal-contour length, longitudinal/transverse diameter ratio, longitudinal/transverse-contour length ratio, and angle of the retromolar pad line to the residual alveolar ridge line) were measured using image analysis software. Subsequently, the pads were classified according to the shape. Statistical analyses were performed using 95% confidence intervals. RESULTS. Classifying the retromolar pads into three shapes led to high intra-examiner reliability (Cronbach's alpha = 0.933). The pear shape was the most common (56.5%), followed by oval/round (27.7%) and triangular (15.8%) shapes. There were no significant differences between the left and right sides according to the shape and no significant differences in any parameter according to age. The transverse diameter and longitudinal/transverse diameter ratio differed between sexes (P < .05). The triangular shape had a significantly different transverse diameter, transverse-contour length, longitudinal/transverse diameter ratio, and longitudinal/transverse-contour length ratio compared with the pear and oval/round shapes (P < .05). CONCLUSION. From a clinical reliability standpoint, classifying retromolar pads into three shapes (oval/round, pear-shaped, and triangular) is effective. The differences in the sizes among the shapes were attributed to the transverse measurement values.

• Communications for Statistical Applications and Methods
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• 제30권4호
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• pp.355-368
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• 2023

This article introduces the R package ELCIC (https://cran.r-project.org/web/packages/ELCIC/index.html), which provides an empirical likelihood-based information criterion (ELCIC) for model selection that includes, but is not limited to, variable selection. The empirical likelihood is a semi-parametric approach to draw statistical inference that does not require distribution assumptions for data generation. Therefore, ELCIC is more robust and versatile in the context of model selection compared to the currently existing information criteria. This paper illustrates several applications of ELCIC, including its use in generalized linear models, generalized estimating equations (GEE) for longitudinal data, and weighted GEE (WGEE) for missing longitudinal data under the mechanisms of missing at random and dropout.

• 콘크리트학회논문집
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• 제16권2호
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• pp.249-260
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• 2004

철근콘크리트 교각의 소성힌지 구간에서의 축방향철근의 겹침이음은 내진성능면에서 바람직하지 않으나, 축방향철근의 겹침이음을 피하는 철근상세가 현실적으로 어려운 실정이며 현행 도로교설계기준에는 축방향철근 겹침이음 금지에 관한 특별한 설계기준이 없는 상태이다. 본 연구는 반복하중을 받는 철근콘크리트 원형교각의 축방향철근 연결상세에 따른 내진성능을 평가하기 위해 축방향철근 연결상세에 따른 7개 그룹 총 21개의 원형나선철근 기둥 시험체에 대한 준정적실험을 수행하였다. 실험결과 축방향철근이 겹침이음 되어있는 시험체의 경우, 단일 축방향철근으로 구성된 시험체보다 낮은 내진성능을 나타내었으며 특히, 모든 축방향철근이 겹침이음 되어있는 경우 내진성능이 상당히 저하되었다. 그러나, 축방향철근을 기계적 연결장치로 연결한 시험체의 경우 단일축방향철근 상세를 가지는 시험체와 유사한 내진성능을 나타내었다. 본 연구의 최종목적은 철근콘크리트 교각의 시공성 향상을 위한 축방향철근 연결상세의 제시 및 한정연성 내진설계를 위한 실험적 기초자료의 제공과 함께 성능단계별 축방향철근 연결상세에 따른 성능 및 손상평가를 위한 정량적 수치와 경향을 제공하기 위한 것이며, 극한변위, 극한드리프트비율, 변위연성도, 응답수정계수, 등가점성감쇠비, 잔류변형지수, 유효강성 등의 주요 내진성능평가 변수들에 대한 분석결과를 나타내었다.

• 지역사회간호학회지
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• 제31권1호
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• pp.86-95
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• 2020

Purpose: The aim of this study was to examine the correlation between school-life adjustment and suicidal ideation in adolescents by applying the latent growth curve models to the longitudinal data. Methods: This study analyzed three waves of data from the Korean Children & Youth Panel Survey (2014~2016). A total of 1,534 students were included in the analysis. In the application of the latent growth curve models to the longitudinal survey data, we analyzed the initial status and growth changes for each wave, identified individual differences in the general characteristics, and examined the direct relationship between the two latent constructs. Results: The analysis revealed that variations in the initial status and rate of school-life adjustment were significant with respect to parents' education level, household income and academic satisfaction. Variations in the initial status and growth rate of suicidal ideation were significantly associated with household income and family structure. The relationship between school-life adjustment and suicidal ideation showed a negative correlation in which the starting value of the former increased and that of the latter decreased and vice versa. Conclusion: The results confirmed that school-life adjustment and suicidal ideation varied according to students' general characteristics. In addition, school-life adjustment was negatively correlated with suicidal ideation, thereby highlighting students' ability to adjust as an important factor influencing their suicidal thinking.

• 융합정보논문지
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• 제9권4호
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• pp.78-87
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• 2019

본 연구는 중고령임금근로자의 직무만족과 임금수준사이의 관계를 종단자료와 종단분석방법을 통하여 검증하였다. 이를 위하여 한국고용정보원의 고령화패널 중 2006년부터 2016년까지 6차에 걸쳐 패널자료를 사용하였고, 잠재성장모형을 사용하였다. 또한 성별과 연령을 조절변수로 사용하였다. 연구결과, 임금수준은 직무만족에 정(+)의 영향을 미치고, 직무만족도 임금수준에 정(+)의 영향을 미치고 있어, 임금수준과 직무만족의 상호 영향관계가 확인되었다. 성별과 연령의 영향은 유의미하였다. 연구 결과를 바탕으로 중고령임금근로자에 대한 직무만족과 임금수준 간 상호영향관계를 규명하였고, 연구의 한계와 추후연구에 대해 제언하였다.

• 응용통계연구
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• 제35권2호
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• pp.311-325
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• 2022

0의 값을 과도하게 포함하는 가산자료는 다양한 연구 분야에서 흔히 나타난다. 영과잉 모형은 영과잉 가산자료를 분석하기 위해 가장 일반적으로 사용되는 모형이다. 영과잉 모형에 대한 전통적인 베이지안 추론은 조건부 사후분포의 형태가 폐쇄형 분포로 나타나지 않아 모형 적합 과정이 용이하지 않다는 한계점이 존재했다. 그러나 최근 Pillow와 Scott (2012)과 Polson 등 (2013)이 제안한 폴랴-감마 자료확대전략으로 인해, 로지스틱 회귀모형과 음이항 회귀모형에서 깁스 샘플링을 통한 추론이 가능해지면서, 영과잉 모형에 대한 베이지안 추론이 용이해졌다. 본 논문에서는 베이지안 추론에 기반한 영과잉 음이항 회귀모형을 Min과 Agresti(2005)에서 분석된 약학 연구 자료에 적용해본다. 분석에 사용된 자료는 경시적 영과잉 가산자료로 복잡한 자료 구조를 가지고 있다. 모형 적합 과정에서는 깁스 샘플링을 통한 추론을 수행하기 위해 폴랴-감마 자료확대전략을 사용한다.

• Journal of the Korean Data and Information Science Society
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• 제27권3호
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• pp.689-700
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• 2016

본 논문에서는 이변량 경시적 자료의 조건부 결합 분포를 추정하기 위하여 회귀 모형과 코플라 모형을 연구하였다. 주변 분포의 추정을 위하여 시변 전환 모형을 고려하였고, 이변량 반응변수 각각에 대한 주변 분포를 경험 분포를 이용한 비모수적 코플라를 이용하여 결합하여 조건부 결합 분포를 추정하였다. 주변 분포 모형의 모수 추정치는 추정방정식의 해로 얻어낼 수 있으며 우리가 제안한 모형은 조건부 평균 모형만으로 자료를 설명하기 어려운 경우에 적용될 수 있다. 시변 전환 모형과 비모수적 코플라 모형을 결합한 본 논문의 방법은 반복 측정된 이변량 경시적 자료에 대한 모형화가 모형에 대한 가정에서 비교적 자유로운 장점이 있다. 우리는 본 논문의 방법을 반복 측정된 이변량 콜레스테롤 자료를 분석하는데 적용하여 보았다.

• 한국과학교육학회지
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• 제11권1호
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• pp.1-14
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• 1991

The objectives of the study is to examine students concepts changes using a longitudinal study. The study compared two data sets collected in 1989 and in 1990 using the same instrument and subjects. The first data set was collected by Ahn(Ahn, 1989). In the study, students' patterns of misconceptions were examined in the following aspects : 1) Comparison of the students' misconception before observation of actual phenomenon in the first data between the two data sets. 2) The analysis of the patterns of students misconceptions of the second data set In terms of students' patterns of conceptual change before and after observation in the first data set. In the study, overall patterns of students' misconceptions appeared in the second data set were similar to those of the first data set ; however, about 40% of individual student's patterns of misconceptions were changed. Even the students who changed their opinion from misconception to scientific by observing the give phenomenon in the previous study(the first data set) returned to their original misconception after one year. The researcher interpreted this phenomenon in terms of the characteristics of the three kinds of cognitive conflict suggested by Kwon(Kwon, 1989).

• Journal of Mechanical Science and Technology
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• 제16권10호
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• pp.1253-1263
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• 2002

The control system design and modeling of an unmanned vehicle by means of a new concept for better performance through a tole-operation system is suggested by sensor fusion. But, the control of a real vehicle is very difficult, because the system identification of the vehicle is hard to find the unknown factors and the disturbances of the experimental environment. For the longitudinal and lateral controls, the traction system and steering system models are set up and a tuning method to find the gain of the controller by experiments is presented. In this research, mechanical and electronic parts are implemented to operate the unmanned vehicle and data reconstruction method of information about the environment data coming from several sensors is presented by data plot for the vehicle navigation. This paper focuses on the integration of tole-operated unmanned vehicle. This vehicle mainly controlled lateral and longitudinal directions with actuators for controlling vehicle movement and sensors for the closed-loop controlled system.

• Communications for Statistical Applications and Methods
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• 제24권1호
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• pp.81-96
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• 2017

Cumulative logit random effects models are typically used to analyze longitudinal ordinal data. The random effects covariance matrix is used in the models to demonstrate both subject-specific and time variations. The covariance matrix may also be homogeneous; however, the structure of the covariance matrix is assumed to be homoscedastic and restricted because the matrix is high-dimensional and should be positive definite. To satisfy these restrictions two Cholesky decomposition methods were proposed in linear (mixed) models for the random effects precision matrix and the random effects covariance matrix, respectively: modified Cholesky and moving average Cholesky decompositions. In this paper, we use these two methods to model the random effects precision matrix and the random effects covariance matrix in cumulative logit random effects models for longitudinal ordinal data. The methods are illustrated by a lung cancer data set.