• 대한수의학회지
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• 제48권3호
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• pp.357-361
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• 2008

Although power analysis is of important tool of research, investigators in veterinary medicine are unaware of the concepts of the statistical power. Two types of error occur in classical hypothesis testing and, those errors should be avoided, if possible. Since power is highly dependent on the sample size, whenever declaring non-statistically significant result they should consider the potential for committing a Type II error in their studies, which refers to the probability of falsely stating that two treatments are equivalent despite true difference between them. Also, sample size determination is one of the most important tasks facing the researcher when planning a diagnostic study, and provides valuable information on the characteristics of a test performance. This type of analysis forms the basis for proper interpretation of test results. The aim of this article was to re-evaluate some selected studies on diagnostic test reported in the domestic veterinary publications to determine the power and necessary sample size for inequality testing to ensure the desired power. Power calculations were illustrated using real-life examples of comparison of a new test and a reference test for detecting antibodies of various animal diseases. Factors affecting to the power were also discussed.

• Asian-Australasian Journal of Animal Sciences
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• 제17권4호
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• pp.554-559
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• 2004

The objective of the present study was to investigate the accuracy of mastitis diagnostic indicators for different dairy goat breeds. Biweekly milk samples were collected from individual half mammary gland of seven Saanen and seven Alpine dairy goats in the period of 40 to 120 days in milk. With threshold value set at 2.8 and 3.1 for Alpine and Saanen dairy goats, respectively, log (SPC) offered good sensitivity (0.89, 0.93), specificity (0.88, 0.95), positive predictive value (0.75, 0.85) and negative predictive value (0.95, 0.98) as a mastitis diagnostic tool. The correlations of log (SPC) with milk yield, log (SCC), ALP, LDH, $Na^{+}$, $K^{+}$ and EC were significant in Saanen dairy goats (p<0.05), with the highest correlation coefficient (0.653) existing between log (SPC) and log (SCC). The correlations of log (SPC) with milk yield, milk fat, milk protein, log (SCC), $Na^{+}$, $K^{+}$, EC were significant in Alpine dairy goats (p<0.05), with the highest correlation coefficient (0.416) existing between log (SPC) and log (SCC). There were different best-fit regression equations with different multiple diagnostic indicators for Saanen and Alpine dairy goats. In conclusion, different breeds of dairy goats may have to adapt different mastitis diagnostic parameters for a better diagnosis.

• 한국광학회:학술대회논문집
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• 한국광학회 2009년도 동계학술발표회 논문집
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• pp.357-358
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• 2009

• Communications for Statistical Applications and Methods
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• 제7권2호
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• pp.403-414
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• 2000

A diagnostic tool for testing homogeneity for random effects is proposed in unbalanced linear mixed model based on score statistic. The finite sample behavior of the test statistic is examined using Monte Carlo experiments examine the chi-square approximation of the test statistic under the null hypothesis.

• 한국동물학회:학술대회논문집
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• 한국동물학회 2003년도 한국생물과학협회 학술발표대회
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• pp.150.4-150
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• 2003

No Abstract, See Full Text

• 동의생리병리학회지
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• 제25권1호
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• pp.138-143
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• 2011

In spite of abundant clinical resources of stroke patients, the objective and logical data analyses or diagnostic systems were not established in oriental medicine. As a part of researches for standardization and objectification of differentiation of syndromes for stroke, in this present study, we tried to develop the statistical diagnostic tool discriminating the 4 subtypes of syndrome differentiation using the essential indices considering the sex. Discriminant analysis was carried out using clinical data collected from 1,448 stroke patients who was identically diagnosed for the syndrome differentiation subtypes diagnosed by two clinical experts with more than 3 year experiences. Empirical discriminant model(V) for different sex was constructed using 61 significant symptoms and sign indices selected by stepwise selection. We comparison. We make comparison a between discriminant model(V) and discriminant model(IV) using 33 significant symptoms and sign indices selected by stepwise selection. Development of statistical diagnostic tool discriminating 4 subtypes by sex : The discriminant model with the 24 significant indices in women and the 19 significant indices in men was developed for discriminating the 4 subtypes of syndrome differentiation including phlegm-dampness, qi-deficiency, yin-deficiency and fire-heat. Diagnostic accuracy and prediction rate of syndrome differentiation by sex : The overall diagnostic accuracy and prediction rate of 4 syndrome differentiation subtypes using 24 symptom and sign indices was 74.63%(403/540) and 68.46%(89/130) in women, 19 symptom and sign indices was 72.05%(446/619) and 70.44%(112/159) in men. These results are almost same as those of that the overall diagnostic accuracy(73.68%) and prediction rate(70.59%) are analyzed by the discriminant model(IV) using 33 symptom and sign indices selected by stepwise selection. Considering sex, the statistical discriminant model(V) with significant 24 symptom and sign indices in women and 19 symptom and sign indices in men, instead of 33 indices would be used in the field of oriental medicine contributing to the objectification of syndrome differentiation with parsimony rule.

• 한국과학교육학회지
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• 제27권4호
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• pp.346-353
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• 2007

본 연구에서는 그동안의 평가결과로부터 얻을 수 없었던 집단별, 개인별 정보를 끄집어 낼 수 있는 평가도구를 소개하고 있다. 본 연구의 목적은 우리 나라 중고등학생들에게 적용 가능하며, 학생들의 평가결과를 이용하여 학습준비도 및 학습진전도를 파악할 수 있는 지식상태분석법의 활용성을 분석하는 것이다. 이를 위해 마찰전기 평가 문항을 개발하고 개발된 평가문항에 대하여 지식공간론을 적용하여 중학교 2학년 학생들의 평가결과를 분석하였다. 학습전 학생들의 지식상태는 문항간 위계 관계가 형성되지 않았고, 예상위계도에 비해 학생들의 마찰전기에 대한 지식상태가 비구조화 되어 있는 것으로 나타났다. 학습 후에는 학습 전보다는 좀 더 세분화되고 구조화된 위계 관계로 지식상태가 변화했음을 볼 수 있었다. 학습후에 얻어진 학생들의 위계도를 이용하여 학습전 학습자 집단 혹은 학습자 개인의 지식상태를 분석할 수 있었고, 학습전 학생들의 지식상태와 학습후의 지식상태를 비교하여 학생들이 학습한 과학개념의 구조를 가시적으로 파악하는 것이 가능하였으며, 학습자 개개인에 대한 학습전후 진단도 가능한 것으로 나타났다. 따라서 지식상태분석법을 학습 진단평가도구로 활용할 수 있다고 볼 수 있다.

• 대한불안의학회지
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• 제2권1호
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• pp.50-55
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• 2006

Objectives : In the psychiatry, structured interview is very important tool to be used in epidemiological or psychopharmacological studies. However, investigators often find that the administration of comprehensive diagnostic interviews is time-consuming and expensive to be used in clinical or research settings. Considering these points, Sheehan and his colleagues developed MINI (Mini International Neuropsychiatric Interview) to meet the need for a brief, reliable, and valid structured diagnostic interview for psychiatric disorders. The MINI has been translated into many languages and used in many countries. Therefore, we translated the MINI into Korean and determined its validity in this study. Methods : Twohundred seventy patients and normal subjects participated in the validation of the MINI versus an expert's professional opinion. Schizophrenia and other psychotic disorders, mood disorders including major depressive disorder and bipolar disorder, anxiety disorders including panic and other phobic disorders, and alcohol dependence were included in this study. The validity was obtained by examination whether MINI based diagnoses were compatible with diagnoses by expert psychiatrists. Results : The range of Kappa values was 0.22 (somatoform disorder) to 0.93 (bipolar disorder - past). Overall agreement between MINI and expert's diagnoses were good. The Kappa values for anxiety disorders seemed to be higher than those for other disorders. Conclusion : The MINI Korean version has the good validity. It also has potential applications as a diagnostic tool for psychiatric disorders.

• 한국국방경영분석학회지
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• 제34권3호
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• pp.93-105
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• 2008

최근 정신질환에 대한 사회적 편견이 감소하면서 이차성 이득(secondary gain), 즉 군복무 기피를 위한 목적으로 정신과적 증상을 호소하는 환자가 늘어나고 있다. 특히 객관적 진단도구가 없는 정신의학적 문제의 경우 환자의 주관적 증상호소와 의사의 전문적 판단이 실제 유일한 진단 기준이다. 본 논문에서는 데이터마이닝을 이용하여 과거 정신과 입원 환자들의 처방데이터 분석을 통해 의병전역 결정을 위한 객관적 기준을 제공하여 의무조사의 신속한 의사결정에 도움을 주고자 한다. 따라서 정신과 환자 처방분석을 통한 의병전역 결정지원 시스템을 제안한다.

• 조명전기설비학회논문지
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• 제15권5호
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• pp.68-74
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• 2001

본 논문에서는 전력용 변압기 내부의 이상원인을 규명하는 방법중 가장 신뢰성이 우수한 가스분석기법에 대한 새로운 알고리즘을 제시하였다. 제시된 알고리즘은 한전 유중가스 분석법을 포함한 국제적으로 공인된 IEC법, Domenburg법, 가스 Pattern법 등을 통합하여 적용하므로써 진단의 효율성을 높였으며, 미국 Neuron DATA사에서 개발한 Element Expert Tool로 작성되었다. 또한, 실제 이상이 발생된 전력용 변압기의 유중가스치를 제안된 알고리즘에 적용하여 신뢰성을 입증하였다.