• Communications for Statistical Applications and Methods
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• v.14 no.1
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• pp.11-21
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• 2007

In this paper, we consider a decision-theoretic oriented, objective Bayesian inference for the difference between two normal means with unknown com-mon variance. We derive the Bayesian reference criterion as well as the intrinsic estimator and the credible region which correspond to the intrinsic discrepancy loss and the reference prior. We illustrate our results using real data analysis as well as simulation study.

• Journal of Ginseng Research
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• v.42 no.2
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• pp.158-164
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• 2018

Background: The study was carried out to assess the genetic variability present in ashwagandha and to examine the nature of associations of various traits to the root yield of the plant. Methods: Fifty-three diverse genetic stocks of ashwagandha (Withania somnifera) were evaluated for 14 quantitative characteristics. Analysis of variance, correlation, and path coefficient analysis were performed using the mean data of 2 years. Results: Analysis of variance revealed that the genotypes differed significantly for all characteristics studied. High heritability in conjunction with high genetic advance was observed for fresh root weight, 12 deoxywithastramonolide in roots, and plant height, which indicated that selection could be effective for these traits. Dry root weight has a tight linkage with plant height and fresh root weight. Further, in path coefficient analysis, fresh root weight, total alkaloid (%) in leaves, and 12 deoxywithastramonolide (%) in roots had the highest positive direct effect on dry root weight. Conclusion: Therefore, these characteristics can be exploited to improve dry root weight in ashwagandha genotypes and there is also scope for the selection of promising and specific chemotypes (based on the alkaloid content) from the present germplasm.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.14 no.2
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• pp.83-96
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• 2011

The open space of apartment complex has changed diversely according to construction periods which were divided into the introduction stage (the 1980s), the development stage (the 1990s), and the maturity stage (after 1999). This study set out to analyze the periodic changes of visual characteristics and preference with the open space of apartment complexes in Cheongju City. For analysis of visual characteristics and preference, nineteen adjectives that were determined to sufficiently express the feeling of the open space of apartment complex. The results are as follows. As for adjective image assessment by using descriptive statistics, favorable images were shown in complexes of maturity stage phase that were constructed after the liberalization of apartment sale in 1999. These results may be caused both by quantitative increase and diversification of materials in planting and landscaping furniture and by nature-friendly designing. The results of factor analysis by Varimax rotation method showed that common variance was 73.9%, which indicates higher explanation. The nineteen adjectives could be divided into three factors, 'pleasantness factor,' 'negative factor,' and 'irregular factor.' Visual preference was analysed by using Least significant Difference (LSD) by analysis of variance : complexes of maturity stage phase that were constructed according to the liberalization of apartment sale in 1999 were highest in assessment. The correlation between view preference and adjective images was analyzed by multiple regression analysis, and 'feeling like walking,' 'well-arranged,' 'beautiful,' 'friendly,' and 'clean' (in order) were adjective images that most affected the preference. As for the analysis of the correlation between visual preference and physical components of view, the preference increased as the rate of pavement and greens was higher, while it decreased as size of building was larger. Therefore, backgrounds of walking and greens had strong effects on the preference.

• Journal of Korean Academy of Nursing
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• v.35 no.5
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• pp.879-887
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• 2005

Purpose: The purpose of this study was to understand depression in women with endometriosis and to identify the factors influencing depression. Method: The instruments used were the Beck Depression Inventory for depression, Lemaire Scale for endometriosis syndrome, Mishel Uncertainty in Illness Scale-Community form (MUIS-C), the Rosenberg Self-esteem Scale, and Quality of Life (Endometriosis Health Profile Questionnaire; EHP-5) by Jones et al. The Subjects of Study were 118 outpatients diagnosed with endometriosis from 7 hospitals in Busan City and Kyungsangnam-do. Data was collected from Aug 1, 2004 to Jan 31, 2005. For statistical analysis of collected data, frequency analysis, analysis of variance, and stepwise multiple regression analysis were used with the SPSS statistical program. Result: The general characteristic showing a statistically significant difference in depression in the women with endometriosis was marital status. The score of the depression showed a significantly positive correlation with the score of endometriosis TSD(r= .464, p= .000), uncertainty(r= .393, p= .000), and quality of life(r= .543, p= .000). Depression showed a significantly negative correlation with the score of self esteem(r= - .557, p= .000). Stepwise multiple regression analysis revealed that the most powerful predictor of depression in the women with endometriosis was self-esteem ($R^2$=0.311). A combination of self esteem, quality of life, and total symptom distress accounted for $50.0\%$ of the variance in depression in women with endometriosis. Conclusion: The influencing factor on depression in women with endometriosis was self- esteem, quality of life, and endometriosis TSD. Further studies need to be done to identify methods of overcoming and the presentation of depression in endometriosis.

• The korean journal of orthodontics
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• v.25 no.6 s.53
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• pp.665-674
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• 1995

The purpose of this study is to investigate the cephalometric characteristics of the open-bite patients with DJD of TMJ. The DJD open-bite cases were compared with normal samples and Class II open-bite cases with normal TMJ respectively. Twenty three open-bite patients with bilateral DJD of TMJ($13.9\~35.3$ yens old, Group I) were selected from the Department of Orthodontics, SNUDH. Group ll consisted of thirteen Class II open-bite cases($13.2\~27.4$ years old) with no TMD signs/symtoms and good condylar shapes. Group III samples were the forty eight healthy dental students who have Class I molar relationships with no history of orthodontic treatment, good facial balance and no TMD symptoms($20.0\~26.8$ years old). First, sixty measurements in the lateral cephalometric radiographs and analysis of variance(P<0.05, Scheffe) were used to compare these three groups. The seven measurements showed significant difference(p<0.05) between Group I and Group II. After analysis of variance, six of them were used for the discriminant analysis(Wilks' stepwise analysis) and the discrminant function for Group I/Group II was obtained. The results and conclusions were as follows : In most of the measurments, Group I and Group II showed the same skeletal and dental characteristics. But seven of the sixty measurements(FH-PP angle, SNB, FH-ArGo angle, articulare angle, genial angle, upper gonial angle and Ar-Go length) were significantly different(p<0.05) between Group I and Group II. These differences may be explained by the fact that in DJD cases the mandible rotated backward due to the shortening of the ramus following the degenerative destruction of condylar head and its surrounding structures. The resulting discriminant function was : $D={-0.120X}_1+{0.066X}_2+{0.144X}_3-{0.058X}_4+2000,\;where\;X_1=ArGo\;length(mm),\;X_2=SArGo\;angle(degree),\;X_3=FH-PP\;angle(degree),\;X_4=Gonial\;angle(degree)$. Mean of the group centroids was -0.555 and percent of the 'grouped' cases correctly classified was $88.89\%$.

• The Journal of Korean Physical Therapy
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• v.25 no.3
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• pp.160-166
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• 2013

Purpose: The aim of the study was to survey satisfaction with physical therapy. Methods: After the physical therapy consultation, patients filled in a Korean-language version of the 20-tiem version of the MedRisk Instrument developed for measuring Patient Satisfaction with physical therapy. Items are scored on a five-point Likert scale ranging from strongly disagree to strongly agree. The last two items are general satisfaction and future return to the clinic. Age and gender information was also collected anonymously. Exploratory factor analysis based on principal components analysis with varimax rotation was performed on the first 18 items of the MedRisk Instrument using SPSS v.20. Results: Four factors emerged with eigenvalues greater than 1, and these cumulatively explained 55% of the total variance in item scores. The factors were labelled: Internal, External Positives, External Negatives, and Clinic Presentation. Correlations of the factor scores with the two global items ranged from 0.29 to 0.70 (both p<0.001). Gender differences were only found on the last factor, with male Korean patients rating Clinic Presentation significantly higher than females (p=0.001). Conclusion: Using factor analysis, the proposed factor structure was revealed using the positive and negative components of the external aspects of the physical therapy and by identifying a clinic presentation which contributes to patients' satisfaction. The largest proportion of the variance in Patient Satisfaction was related to clinicians' attention and behaviour. The results of the analysis provide guidelines as to the dimensions of professional physical therapy care and the implications for service delivery and patient experience.

• The Journal of Korean Society for School & Community Health Education
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• v.15 no.3
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• pp.105-125
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• 2014

Background: The purpose of this study was to evaluate reliability and validity of a 27-item Korean Version of the Impact of Weight on Quality of Life in adolescents ($IWQOL-Kids^{(C)}$: Korean Version). Methods: This instrument was administered to 872 adolescents (mean z-BMI: 2.61, mean $age{\pm}SD$: $13.9{\pm}1.2$, male: 51.9%). Reliability was tested by internal consistency method and item analysis, validity test was performed by index of content validity, exploratory factor analysis, confirmatory factor analysis and concurrent validity. Sensitivity was tested by ANOVA and t-test. Analyses were performed using SPSS and Amos 18.0. Results: By an exploratory factor analysis, 4 factors were extracted; 'Body esteem' consisted of 9 items with 35.9% of variance (social life: 6 items, 10.23%, physical comfort: 6 items, 8.21%, family relations: 6 items, 7.0%). Four factors explained 61.34% of total variance. Internal consistency coefficients ranged from .766 to .929 for scales on 27 items and equal to .920 for total score for both the 26-item and 27-item tools. A confirmatory factor analysis was conducted for the convergent validity and discriminant validity. The standardized factor loadings to test the convergent validity showed more than .5(C.R<1.965) on all paths after deletion of item PC1 (avoid stairs). The average variances extracted were more than .50 and the construct reliabilities were more than .70. The average variances extracted were stronger than the squares of correlation coefficient of inter-latent variables. Conclusions: These results support that the $IWQOL-Kids^{(C)}$: Korean Version with a 26-item is a reliable and valid tool in Korean obese adolescents.

• Journal of Environmental Science International
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• v.15 no.12
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• pp.1125-1139
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• 2006

The cluster analysis of diurnal precipitation patterns is performed by using daily precipitation of 59 stations in South Korea from 1973 to 1996 in four seasons of each year. Four seasons are shifted forward by 15 days compared to the general ones. Number of clusters are 15 in winter, 16 in spring and autumn, and 26 in summer, respectively. One of the classes is the totally dry day in each season, indicating that precipitation is never observed at any station. This is treated separately in this study. Distribution of the days among the clusters is rather uneven with rather low area-mean precipitation occurring most frequently. These 4 (seasons)$\times$2 (wet and dry days) classes represent more than the half (59 %) of all days of the year. On the other hand, even the smallest seasonal clusters show at least $5\sim9$ members in the 24 years (1973-1996) period of classification. The cluster analysis is directly performed for the major $5\sim8$ non-correlated coefficients of the diurnal precipitation patterns obtained by factor analysis In order to consider the spatial correlation. More specifically, hierarchical clustering based on Euclidean distance and Ward's method of agglomeration is applied. The relative variance explained by the clustering is as high as average (63%) with better capability in spring (66%) and winter (69 %), but lower than average in autumn (60%) and summer (59%). Through applying weighted relative variances, i.e. dividing the squared deviations by the cluster averages, we obtain even better values, i.e 78 % in average, compared to the same index without clustering. This means that the highest variance remains in the clusters with more precipitation. Besides all statistics necessary for the validation of the final classification, 4 cluster centers are mapped for each season to illustrate the range of typical extremities, paired according to their area mean precipitation or negative pattern correlation. Possible alternatives of the performed classification and reasons for their rejection are also discussed with inclusion of a wide spectrum of recommended applications.

• Korean Journal of Oriental Medicine
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• v.13 no.2 s.20
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• pp.121-125
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• 2007

Background and Purpose : The purpose of this study was done to investigate what kinds of statistical techniques have been used to analyze data from oriental medicine research Methods : 135 original articles which used statistical techniques in their data analysis were selected from the articles published in The Journal of Korea Institute of Oriental Medicine(JKIOM) between 1995 to 2007. Results : Among 135 articles, 59 articles used descriptive statistics while 76 articles used inferential statistics for data analysis. For that 76 articles, two-sample t-test(33 articles), analysis of variance(29 articles), regression(9 articles), chi-square test(5 articles), nonparametic test(4 articles), Fisher's exact test(3 articles), and other test(9 articles) were chosen to analyze the data. SAS and SPSS statistical softwares(82.50%) were mostly used to analyze the data. Nonparametic tests were used to 4 articles(6.97%) of 67 articles and parametic tests were used to 63 articles(93.03%) of 67 articles. Among 29 articles used analysis of variance, duncan(8 articles), dunnet(4 articles), bonferroni(4 articles), turkey(3 articles), scheff(1 article) were used to do multiple comparison. 9 articles did not carry out the multiple comparison. Conclusions : It was found that the frequencies of statistical package used and statistical analysis used were not much by now. High level statistical analyses were not used most for oriental medicine research.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.383-387
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• 2015

Bowel and rectal diseases are on the increase by irregular life and westernized eating habits of modern people, especially rectal cancer, which accounts for 50% of the entire colon cancer. For the initial rectal cancer, because there is no portion projecting on the surface, if not see inside the tissue with ultrasound, you make an errors that misdiagnosis as rectal abscess. However there is a need for more accurate diagnosis, because it is sometimes difficult to distinguish abscess from rectal cancer depending on staging, in spite of the ultrasonic diagnosis. Therefore, this study was performed quantitative analysis by using a computer algorithm for rectal cancer and abscess image. Each of 20 cases about normal, abscess and cancer by setting analysis region ($50{\times}50$ pixels) applies to GLCM algorithm and Autocorrelation, Max probability, Sum average, Sum variance in each image were analyzed by comparing the 4 single parameter. Consequently, The high lesion detection efficiency was presented 100% by the 3 parameter of Autocorrelation, Max probability, Sum variance and the parameter of Sum average presents 95% in cancer, more than 90% in abscess. Those parameters are valuable in distinction standard about normal, cancer and abscess in rectum. It is sufficient availability as a computer assisted diagnosis system depended on clinical using.