http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
강경원(Kang Kyungwon),김노수(kim Nosoo),유종향(Yoo jonghyang),강병갑(Kang Byunggab),고미미(Ko Mimi),최선미(Choi Sunmi) 한국한의학연구원 2008 한국한의학연구원논문집 Vol.14 No.2
Background and Purpose: The purpose of this study was investigate statistical validities of previously reported articles that used various statistical techniques such as t r test and analysis of variance. Methods: To analyze the statistical procedures. 66 original articles using those statistical methods were selected from 『Korean Journal of Oriental Medicine(KJOM)』 published from 1995 to 2007. Results: Twenty-one articles(32%) did not report correct p-values, 33 articles(50%) used mean ± standard error(mean ± SE) and 11 articles(l7%) used mean ± standard deviation(mean ± SD). Fifty-two articles(95%) of 55 ones which were tested for normal distribution made an error in describing normal distribution. Seventeen articles misused t-test and 12 articles did not carry out the multiple comparison. Conclusions: The training of researchers with clinical statistics or the participation of statisticians in research design will reduce the significant errors in statistical interpretation of the results.
강경원(Kang Kyungwon),문진석(Moon Jinseok),강병갑(Kang Byunggab),김보영(Kim Boyoung),김노수(Kim Nosoo),유종향(Yoo Jonghyang),신미숙(Shin Misook),최선미(Choi Sunmi) 한국한의학연구원 2008 한국한의학연구원논문집 Vol.14 No.2
The study was to investigate the agreement rate between the statistical diagnosis of pattern identification by discriminant analysis and the clinical diagnosis of pattern identification by medical specialist in obese patients with BMI ≥ 23. The agreement rate of deficiency of the spleen, phlegm-retention, deficiency of Yang, retention of undigested food, stagnation of liver Gi, and blood stagnation are 0.40, 0.33, 0.52, 0.76, 0.71, and 0.66, respectively and accuracy rate and prediction rate using linear discriminant function are 0.59 and 0.61, respectively. Therefore, the complementary management in CRF questionnaires and/or consultation from experts will improve the accuracy and prediction rate, which will be helpful for pattern identification of obesity by clinical experts.