• Title/Summary/Keyword: 반복측정 자료

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Assessing Correlation between Two Variables in Repeated Measurements using Mixed Effect Models (혼합모형을 이용한 반복 측정된 변수들 간의 상관분석)

  • Han, Kyunghwa;Jung, Inkyung
    • The Korean Journal of Applied Statistics
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    • v.28 no.2
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    • pp.201-210
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    • 2015
  • Repeated measurements on each variables of interest often arise in bioscience or medical research. We need to account for correlations among repeated measurements to assess the correlation between two variables in the presence of replication. This paper reviews methods to estimate a correlation coefficient between two variables in repeated measurements using the variance-covariance matrix of linear mixed effect models. We analyze acoustic radiation force impulse imaging (ARFI) data to assess correlation between three shear wave velocity (SWV) measurements in liver or spleen and spleen length by ultrasonography. We present how to obtain parameter estimates for the variance-covariance matrix and correlations in mixed effects models using PROC MIXED in SAS.

Measuring Firmness of Bread with a Simple Proximity Sensor Method (선형 근접 센서를 활용한 식빵의 물성 측정에 관한 연구)

  • 최부돌
    • The Korean Journal of Food And Nutrition
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    • v.7 no.3
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    • pp.213-218
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    • 1994
  • 본 연구는 식품의 물성을 측정하기 위한 한 가지 방법으로 50 변위를 아주 정밀하게 직선적으로 측정이 가능한 linear proximity sensor(선형 근접 센서)를 활용하여 식빵의 굳기를 측정하였다 선형 근접 센서를 장착한 기구로 몇 가지 응력(0.376, 0.543, 0.769 kPa) 하에서 식빵의 온도와 수분 함량에 따른 변형을 컴퓨터 자동 자료 수집 장치를 통하여 on-line 상태로 매초마다 자료를 수집하여 컴퓨터 자료 분석 program으로 그래프를 얻었다. 식빵에 적용한 응력과 strain의 비율은 응력이 클수록 그 값이 커지는 비 선형 점 탄성체의 성질을 보였다. 이 측정 기구는 좁은 온도범위와 작은 수분함량의 차이에 따른 식빵의 굳기의 정도에 현저한 차이가 있음을 관찰할 수 있었다. 선형 근접 센서를 활용한 이 기구는 간단하면서도 정밀하게 동적으로 식품의 물성을 측정할 수 있었고, 높은 반복성을 나타내었다. 또한 수집된 자료는 점 탄성체의 특성을 설명하는 기계적인 모형으로 나타낼 수 있었다. Inokuchi의 방법을 적용하여 식빵의 물성을 모형화 하면 용수철과 완충 장치의 조합으로 나타내는 Burger's 모형에 잘 일치하였다. 본 측정 장치는 설치와 사용이 간단하여 식빵과 같은 연 식품의 물성을 측정하는데 활용이 용이하였다.

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Repeated Records Animal Model to Estimate Genetic Parameters of Ultrasound Measurement Traits in Hanwoo Cows (반복모형을 이용한 한우 초음파 측정형질의 유전모수추정)

  • Park, Cheol-Hyeon;Koo, Yang-Mo;Kim, Byung-Woo;Sun, Du-Won;Kim, Jung-Il;Song, Chi-Eun;Lee, Ki-Hwan;Lee, Jae-Youn;Jeoung, Yeoung-Ho;Lee, Jung-Gyu
    • Journal of Animal Science and Technology
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    • v.54 no.2
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    • pp.71-75
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    • 2012
  • The present study data were obtained from 36,894 cows in Korea Animal Improvement Association from 2001 to 2009 which was subjected for ultrasound measurements (eye muscle area, back-fat thickness, marbling score) and descent. Repeated record models were carried out using 7,913 of 36,894 of total animal traits. The ultrasound measured traits and performance test data were used to study the chest girth, body condition score, eye muscle area, back-fat thickness and marbling score with genetic correlation and parameters for the ultrasound measured traits using REMLF90 program. Genetic correlation of eye muscle area with back-fat thickness, marbling score and back-fat thickness with marbling score were noticed in repeated records animal model as 0.69, 0.54, and 0.59, whereas in multiple trait animal model method were 0.07, 0.66, and 0.39, respectively. Repeated records of animal models were used as positive correlation of traits. Multiple trait animal models were used as negative correlation of eye muscle area with marbling score. The analysis on repeat records of animal models using ultrasound measurements about Korean cattle showed positive effects for each traits. In comparison differences between the repeat records of animal models and multiple trait animal models was found with higher traits of her, the heritability and repeatability was found higher in repeat records animal models. In light of these assessments, carcass traits by ultrasound measurements are expected to help and improve an accurate analysis of each trait and if the research analysis using repeat records of animal models continue when we estimate genetic ability of these traits.

Imputation method for missing data based on clustering and measure of property (군집화 및 특성도를 이용한 결측치 대체 방법)

  • Kim, Sunghyun;Kim, Dongjae
    • The Korean Journal of Applied Statistics
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    • v.31 no.1
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    • pp.29-40
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    • 2018
  • There are various reasons for missing values when collecting data. Missing values have some influence on the analysis and results; consequently, various methods of processing missing values have been studied to solve the problem. It is thought that the later point of view may be affected by the initial time point value in the repeated measurement data. However, in the existing method, there was no method for the imputation of missing values using this concept. Therefore, we proposed a new missing value imputation method in this study using clustering in initial time point of the repeated measurement data and the measure of property proposed by Kim and Kim (The Korean Communications in Statistics, 30, 463-473, 2017). We also applied the Monte Carlo simulations to compare the performance of the established method and suggested methods in repeated measurement data.

Measurement Error Variance Estimation Based on Subsample Re-measurements (이중 추출 자료를 이용한 측정오차분산의 추정)

  • 허순영
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2003.06a
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    • pp.34-41
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    • 2003
  • In many cases, the measurement error variances may be functions of the unknown true values or related covariates. This paper develops estimators of the parameters of a linear measurement error variance function based on wi thin-unit sample variaoces. This paper devotes to: (1) define measurement error scale factor $\delta$: (2) develop estimators of the parameters of the 1inear measurement error variance function under stratified multistage sampling design and small error conditions; (3) use propensity methods to adjust survey weights to account for possible selection effects at the replicate level. The proposed methods are applied to medical examination data from the U S Third National Health and Nutrition Examination Survey(NHANES III)

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Evaluation of Resistive Index Using Color Doppler Imaging in Canine Ophthalmic Vasculature (개의 안혈관에 대한 컬러도플러초음파를 사용한 저항지수의 평가)

  • Lee, Hee-Chun;Yoon, Jung-Hee
    • Journal of Veterinary Clinics
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    • v.20 no.2
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    • pp.145-149
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    • 2003
  • Color Doppler imaging(CDI) was carried out to determine CDI-derived resistive index(RI) values of normal canine ophthalmic vasculature and its reproducibility. CDI was performed on 58 dogs. and normal ranges of RI value were calculated for the medial long posterior ciliary artery(mLPCA), ciliary artery(CA), and ophthalmic artery(OA). Ophthalmic vascular RI values of normal dogs were 0.67$\pm$0.07, 0.70$\pm$0.06, and 0.80$\pm$0.04 in mLPCA, CA, and OA, respectively. Means of RT value of all vessel had no statistically significant difference by sex, fellow orbits, and skull type. The results suggest that color Doppler imaging is a noninvasive test which has the advantage of providing objective measurements of blood flow velocity parameter in the canine eye and orbit.

Examining Psychometric Properties of the Brief Symptom Inventory(BSI-18) in Korean People with Mental Disorders (정신장애인에 대한 Brief Symptom Inventory-18의 신뢰도와 타당도에 관한 연구)

  • Hoe, Maanse;Lee, Soonhee
    • Korean Journal of Social Welfare
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    • v.66 no.3
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    • pp.253-276
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    • 2014
  • The purpose of the present study was to examine psychometric properties of the BSI-18 in Korean adults with mental disorders. This study examined internal consistency, test-retest reliability, convergent validity, and a factor structure of the BSI. The sample consisted of 180 adults with mental disorders, who enrolled in mental hospitals and in a day hospital. Data was analysed using reliability analysis, correlation analysis, and confirmatory factor analysis. Major findings were as follows. The Korean version of the BSI showed good internal consistency and test-retest reliability, as well as excellent convergent validity. The original three-factor structure of the BSI-18, proposed by Derogatis, 2001, fitted to the data. These findings indicate that the BSI-18 is a reliable and valid measure as a psychiatric assessment tool and a treatment outcome measure.

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Exploring the process of learning mathematics by repeated reading: Eye tracking and heart rate measurement (반복 읽기를 이용한 수학 학습의 과정 분석: 시선의 움직임 추적과 심박수 측정을 중심으로)

  • Lee, Bongju;Lee, Se Hyung
    • Journal of the Korean School Mathematics Society
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    • v.24 no.1
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    • pp.59-81
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    • 2021
  • This study aimed to investigate how the learners' mathematics learning processes change with repeatedly reading mathematical text. As a way to teach and learn mathematics, we also wanted to examine the effect of repeated reading and to explore the implications for a more efficient teaching and learning strategy. To help us with this study, we mainly used eye tracking and heart rate (HR) measurement. There were four cycles in a cycle of repeated reading, and the number of repeated readings for all cycles was fixed to three times. Eight prospective mathematics teachers in the Department of Mathematics Education of a National University in South Korea participated. Data were analyzed in five aspects: (1) the total reading time per round, the total reading time per slide; (2) the change trends of total reading time per round and slide; (3) the order of slides read; (4) the change trends of HR per round. We found that most participants read in a similar pattern in the first reading, but the second and third reading patterns appeared more diverse for each learner. Also, the first reading required the most time regardless of the repeat cycle, and the time it took to repeatedly read afterward varied depending on the individual. Based on the findings of this study, the most primary conclusion is that self-directed mathematics learning by using repeated reading is effective regardless of cycle. In addition, we suggested four strategies to improve the efficiency of this teaching and learning method.

Velocity and Discharge Measurement using ADCP (ADCP를 이용한 유속과 유량 측정)

  • Lee, Chan-Joo;Kim, Won;Kim, Chi-Young;Kim, Dong-Gu
    • Journal of Korea Water Resources Association
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    • v.38 no.10 s.159
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    • pp.811-824
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    • 2005
  • The ADCP is an instrument based on Doppler effect, which measures discharge of a river in a short time while crossing it. In this study we aim to make a comparison of the discharge results from a moving-vessel ADCP with those measured by velocity-area method at the same cross-section, and to investigate the characteristics of velocity and discharge data using ADCP. Bathymetry measured by ADCP almost coincides with that by direct depth measurements. Because velocity data from ADCP are essentially instantaneous, individual velocity profiles obtained by ADCP are rather different from time-averaged velocity profiles. But spatially averaged velocity profiles of the individual ADCP data near the comparable verticals have similar vertical velocity pattern with the time-averaged ones. The average velocity profile from repeatedly crossed data is also similar with the time-averaged one. In case of the velocity distribution, individual and spatially averaged data for the sub-width of mid-section method Have good agreement with those by velocity-area method. Discharge data determined by averaging several ADCP measurement transects have $0.1\%{\~}9.3\%$ of difference with those from velocity-area method, and as the number of measurement increases, the relative difference to the velocity-area method decreases.