• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.289-294
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• 2015

Linear mixed models are commonly used in the clinical pharmaceutical studies to analyze repeated measures such as the crossover study data of bioequivalence studies. In these models, random effects describe the correlation between repeated outcomes and variance-covariance matrix explain within-subject variabilities. Bioequivalence analysis verifies whether a 90% confidence interval for geometric mean ratio of Cmax and AUC between reference drug and test drug is included in the bioequivalence margin [0.8, 1.25] performed using linear mixed models with period, sequence and treatment effects as fixed and sequence nested subject effects as random. A Levofloxacin study is referred to for an example of real data analysis.

• Journal of Korean Critical Care Nursing
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• v.6 no.2
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• pp.24-36
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• 2013

Propose: This study was to investigate the educational effect and retention of repeated simulation-based basic life support (BLS) training for nursing students. Methods: A comparison group design with pretest and posttest was used. A total of 35 nursing students (18 for the experimental group, 17 for the control group) participated in the study. A repeated simulationbased BLS training program which include a lecture, skills training, and two repeated sessions of simulation practice and debriefing was provided twice for experimental group. Knowledge, self-efficacy, and skill performance of cardiopulmonary resuscitation (CPR) were measured three times: at baseline, week 2, and week 6. Descriptive analysis, repeated measures ANOVA, and t-test were used for data analyses. Results: Knowledge, self-efficacy and skill performance of CPR were not significantly changed by group assignment, by the time, and interaction of group by time. Effectiveness of intervention was not maintained until Week 6. Conclusion: The results suggest that the timing of repeat education, total training time, and students' mastery of CPR performance should be considered when developing simulation-based programs to improve and maintain students' CPR knowledge, self-efficacy, and skill performance.

• Phonetics and Speech Sciences
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• v.7 no.1
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• pp.79-86
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• 2015

This study explored the vowel effect on acoustic perturbation measures in voice quality analysis. For this study, the perturbation parameters (%jitter, %shimmer) and noise parameter (SNR) were measured with 7 Korean vowels (/a/, /ɛ/, /i/, /o/, /u/, /ɯ/, /ʌ/) using CSpeech with 50 Korean normal young adults (24 males and 26 females). A significant vowel effect was found only in %shimmer and in particular, low-back /a/vowel was significantly different from other vowels in %shimmer. The least perturbation and noise were exhibited on high-back /ɯ/ and /o/ vowel, respectively. Based on tongue height, a significant higher %shimmer was demonstrated on low vowels than high vowels. In addition, back vowels in tongue advancement and rounded vowels in lip rounding showed significantly less perturbation and noise. The least variability of perturbation and noise within individuals was demonstrated on the vowel /i/ in three repeated measures. However, there was no significant difference among 3 token measures in single session among vowels tested except the vowel /o/. Consequently, the vowel /a/ commonly used in acoustic perturbation measures exhibited higher perturbation and noise whereas higher stability and less variability were demonstrated on the high-back vowel /u/. These results suggested that the Korean high-back vowel /u/ can be more appropriate and reliable for perturbation acoustic measures.

• Journal of Physiology & Pathology in Korean Medicine
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• v.34 no.1
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• pp.30-36
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• 2020

This study aimed to investigate heart rate variability (HRV) characteristics of cold pattern with repeated measurement data. Participants were taken from a Daejeon University cohort study from 2015 to 2018. Forty-seven of the participants studied displayed cold pattern while 23 showed signs of non-cold pattern. HRV was measured in supine position for 5 minutes at each year, and an 8-item cold pattern questionnaire was used for the diagnosis of cold pattern. SDNN (standard deviation of the NN intervals) and RMSSD (the square root of the mean squared differences of successive NN intervals) were used as time domain analysis, and TP (total power), VLF (power in very low frequency range), LF (power in low frequency range), HF (power in high frequency range), LF norm (LF power in normalized units), HF norm (HF power in normalized units) and LF/HF were used as frequency domain analysis. In the Mann-Whitney U test, LF norm, HF norm, and LF/HF showed differences between the cold pattern group and non-cold pattern group at every measurement, and in the independent t-test, the differences were also observed at three points except for the baseline (2015). In the repeated measures ANOVA, the interaction effects were not observed in all HRV parameters, but the time period effects were observed in SDNN, RMSSD, TP, VLF, LF and HF. There were significant differences between those two groups in LF norm, HF norm and LF/HF. This study suggests that LF norm, HF norm and LF/HF might be a useful indicator of cold pattern properties.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.69-72
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• 1988

The work is concerned with the analysis of the voltage escalation caused by the repeated restriking and extinguishing of the current when the vacuum circuit breaker interrupts the arc furnace load current. The paper particularly concentrates on the protective measures that may be adopted to overcome the restriking problem and guidelines are evaluated.

• The Korean Journal of Pain
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• v.30 no.4
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• pp.243-249
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• 2017

Pain is subjective, while statistics related to pain research are objective. This review was written to help researchers involved in pain research make statistical decisions. The main issues are related with the level of scales that are often used in pain research, the choice of statistical methods between parametric or nonparametric statistics, and problems which arise from repeated measurements. In the field of pain research, parametric statistics used to be applied in an erroneous way. This is closely related with the scales of data and repeated measurements. The level of scales includes nominal, ordinal, interval, and ratio scales. The level of scales affects the choice of statistics between parametric or non-parametric methods. In the field of pain research, the most frequently used pain assessment scale is the ordinal scale, which would include the visual analogue scale (VAS). There used to be another view, however, which considered the VAS to be an interval or ratio scale, so that the usage of parametric statistics would be accepted practically in some cases. Repeated measurements of the same subjects always complicates statistics. It means that measurements inevitably have correlations between each other, and would preclude the application of one-way ANOVA in which independence between the measurements is necessary. Repeated measures of ANOVA (RMANOVA), however, would permit the comparison between the correlated measurements as long as the condition of sphericity assumption is satisfied. Conclusively, parametric statistical methods should be used only when the assumptions of parametric statistics, such as normality and sphericity, are established.

• Journal of Korean Academy of Nursing
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• v.34 no.7
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• pp.1255-1264
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• 2004

Purpose: The purpose of this study was to determine the effect of a 3-week somatosensory stimulation program on the integrity of the somatosensory pathway of patients with brain damage. Method: The sample consisted of two groups of patients with brain damage matched by Glasgow Coma Scale (GCS) scores and age:8 patients with a mean age of 56.75 years who were treated with somatosensory stimulation, and 8 patients with a mean age of 58.88 years, who were not treated with sensory intervention program. A repeated measures matched-control group design was used to assess functional recovery of the brain. The instrument used in this study was SSEP (somatosensory evoked potentials), a neurophysiological parameter, for the integrity of the somatosensory pathway. Results: The hypothesis that patients with brain damage who were treated with the somatosensory stimulation program will show higher SSEP wave form scores than the non-treatment group was supported (3rd week.: U=13.000, p=.014). Additional repeated measures analysis showed that there were no significant differences in recovery trends between the groups (F=1.945, p=.159). Conclusion: This study demonstrates that a somatosensory stimulation program is effective in promoting recovery of the integrity of the somatosensory pathway of patients with brain damage.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.3
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• pp.304-313
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• 2010

Purpose: The purpose of this study was to examine preventive effects of water drinking on postprandial fall of blood pressure in the elderly. Method: Participants were 25 elders who had experienced postprandial fall of systolic blood pressure of more than 15mmHg in a previous study. Within subject repeated measures design using random order allocation was used to control extraneous variables among participants. During the experiment, each participant had to drink 400mL water before lunch, whereas when in the control, they only had their lunch. Blood pressure and heart rate were measured for both times before lunch and at 15 minutes intervals up to 90 minutes after lunch. Data were analyzed using descriptive statistics, repeated measures of ANOVA, paired t-test and Bonferroni adjustment as Post-hoc analysis. Results: Water drinking before lunch elicited significant pressor effects by increasing systolic and diastolic pressure $13.9{\pm}4.7/5.2{\pm}2.2mmHg$ compared blood pressure during the control p<.005, p<.022. Heart rate, however, did not change significantly at either time. Conclusion: Drinking water before meal is recommended for elders who experience postprandial hypotension. However, the appropriate volume of water to prevent postprandial fall in blood pressure should be further studied.

• Health Policy and Management
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• v.33 no.3
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• pp.295-310
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• 2023

Background: The long-term care (LTC) group has higher rates of chronic disease and disability registration compared to the general older people population. There is a need to provide integrated medical services and care for LTC group. Consequently, this study aimed to identify medical usage patterns based on the ratings of LTC and the characteristics of benefits usage in the LTC group. Methods: This study employed the National Health Insurance Service Database to analyze the effects of demographic and LTC-related characteristics on medical usage from 2015 to 2019 using a repeated measures analysis. A longitudinal logit model was applied to binary data, while a linear mixed model was utilized for continuous data. Results: In the case of LTC ratings, a positive correlation was observed with overall medical usage. In terms of LTC benefit usage characteristics, a higher overall level of medical usage was found in the group using home care benefits. Detailed analysis by medical institution classification revealed a maintained correlation between care ratings and the volume of medical usage. However, medical usage by classification varied based on the characteristics of LTC benefit usage. Conclusion: This study identified a complex interaction between LTC characteristics and medical usage. Predicting the requisite medical services based on the LTC rating presented a challenge. Consequently, it becomes essential for the LTC group to continuously monitor medical and care needs, even after admission into the LTC system. To facilitate this, it is crucial to devise an LTC rating system that accurately reflects medical needs and to broaden the implementation of integrated medical-care policies.

• Safety and Health at Work
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• v.14 no.3
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• pp.303-308
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• 2023

Background: Occupational workers at altitudes are more prone to falls, leading to catastrophic outcomes. Acrophobia, height-related anxiety, and affected executive functions lead to postural instabilities, causing falls. This study investigated the effects of repeated virtual height exposure and training on cognitive processing and height-related anxiety. Methods: Twenty-eight healthy volunteers (age 20.48 ± 1.26 years; mass 69.52 ± 13.78 kg) were recruited and tested in seven virtual environments (VE) [ground (G), 2-story altitude (A1), 2-story edge (E1), 4-story altitude (A2), 4-story edge (E2), 6-story altitude (A3), and 6-story edge (E3)] over three days. At each VE, participants identified occupational hazards present in the VE and completed an Attitude Towards Heights Questionnaire (ATHQ) and a modified State-Trait Anxiety Inventory Questionnaire (mSTAIQ). The number of hazards identified and the ATHQ and mSTAIQ scores were analyzed using a 7 (VE; G, A1, A2, A3, E1, E2, E3) x 3 (DAY; DAY 1, DAY 2, DAY 3) factorial repeated measures analysis of variance. Results: The participants identified the lowest number of hazards at A3 and E3 VEs and on DAY 1 compared to other VEs and DAYs. ATHQ scores were lowest at G, A1, and E1 VEs. Conclusion: Cognitive processing is negatively affected by virtual altitudes, while it improves with short-term training. The features of virtual reality, such as higher involvement, engagement, and reliability, make it a better training tool to be considered in ergonomic settings. The findings of this study will provide insights into cognitive dual-tasking at altitude and its challenges, which will aid in minimizing occupational falls.