• 응용통계연구
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• 제35권1호
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• pp.105-117
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• 2022

최근 전국 대학에서 교양 통계학을 배우는 학생이 크게 늘고 있다. 2022년 대학수능에서 수학영역의 선택과목으로 확률과 통계를 선택한 학생은 53.2%를 차지했다. 통계를 한 학기만 배우고 졸업하는 통계 비전공 학생들은 미래에 데이터를 통계적으로 분석하는 생산자보다 소비자로 살아갈 가능성이 높다. 통계 소비자가 배워야 할 것은 요리법처럼 각종의 통계 분석 기법이 아닌 통계적 문해력과 사고력이다. 이 논문은 통계적 사고력을 함양하는 교양 통계학 교재를 개발하기 위해 고려해야 할 사항들을 논의한다.

• Korean Journal of Acupuncture
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• 제29권4호
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• pp.573-580
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• 2012

Objectives : This study was to investigate statistical validities and trends of previously reported papers that used various statistical techniques such as t-test and analysis of variance. Methods : To analyze the statistical procedures, 54 original articles using those statistical methods were selected from The Korean Journal of Acupuncture published from 2007 to 2011. Results : T-test and analysis of variance were used in 23(25.27%), and 18 papers(19.78%) out of 54 papers, respectively. Seven articles(12.96%) did not report alpha values and 26(48.15%) out of 54 studies were not tested for normal distribution. One paper(1.85%) misused t-test and 7 papers(38.89%) did not carry out the multiple comparison. Conclusions : To improve the quality of KJA, statistician involvement in research design would be necessary to reduce errors in statistical methods and interpretation of the results.

• Genomics & Informatics
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• 제17권4호
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• pp.41.1-41.12
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• 2019

Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains "censored" data, in which the time to event cannot be completely observed, but instead represents the lower bound of the time to event. Only the occurrence of either time to event or censoring time is observed. Many traditional statistical methods have been effectively used for analyzing survival data with censored observations. However, with the development of high-throughput technologies for producing "omics" data, more advanced statistical methods, such as regularization, should be required to construct the predictive survival model with high-dimensional genomic data. Furthermore, machine learning approaches have been adapted for survival analysis, to fit nonlinear and complex interaction effects between predictors, and achieve more accurate prediction of individual survival probability. Presently, since most clinicians and medical researchers can easily assess statistical programs for analyzing survival data, a review article is helpful for understanding statistical methods used in survival analysis. We review traditional survival methods and regularization methods, with various penalty functions, for the analysis of high-dimensional genomics, and describe machine learning techniques that have been adapted to survival analysis.

• 한국컴퓨터산업학회논문지
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• 제9권5호
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• pp.207-216
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• 2008

초장력 스프레드시트 기능의 엑셀 프로그램에서 자료를 통계적으로 분석하는 데이터분석 메뉴는 엑셀 2000 이후 수정 보완 되고 있지 않으며 그 활용도도 매우 저조하다. 본 연구에서는 엑셀 통계분석 메뉴 활용도 향상을 위하여 사용빈도가 높은 분산분석의 엑셀 메뉴 실행 결과와 계산식에 의한 이론 결과를 비교하고 고차원 분석 매크로를 개발하였다. 실자료를 엑셀 라이터분석 메뉴를 적용하여 얻은 결과와 계산식에 의한 이론 결과는 요인이 한개인 일원배치법이나 두개인 이원배치 법에서 모두 정확히 일치하였다. 즉 엑셀 데이터분석 메뉴의 신뢰성이 검증되었다. 고차원적인 분산분석법인 블록화된 분산분석 결과를 제공하는 매크로 및 일원분산분석법에서 평균 차이 있는 그룹들을 찾아내는 다중비교 분석방법 매크로를 엑셀 함수를 이용하여 개발하였다.

• 한국멀티미디어학회논문지
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• 제8권7호
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• pp.1000-1011
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• 2005

본 논문에서는 통계에 대한 지식이 부족한 임상 의학자들이 보다 쉽고 정확하게 데이터를 분석할 수 있도록 표본 데이터의 분포에 따라 적절한 분석 방법을 제시해주고, 분석 과정을 아이콘들의 트리로 구성한 가이드맵을 제공하는 의료 통계분석 시스템을 개발하였다. 개 발 시스템은 일반적으로 활용되는 통계 방법, 반복측정자료에 활용되는 통계 방법, 생존분석 등 의료 분야에서 자주 사용되는 분석법들을 포함하고 있다. 또한 3차원 글리프를 이용하여 결과를 인터랙티브하게 보여주고, 불확실성을 시각화함으로써 분석된 결과를 더욱 쉽게 이해할 수 있도록 하였다.

• 한국한의학연구원논문집
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• 제18권2호
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• pp.55-64
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• 2012

Objectives: This study was performed to review the use of statistical analysis methods for the Traditional Korean Medicine studies listed on the Korea Citation Index from 1999 to 2008. Methods: A total of 4217 studies published on four journals of Traditional Korean Medicine were screened and 2682 articles using statistical methods were selected for the review. The selected studies were analysed according to their published year, statistical method and statistical package for use. Results: Statistical methods were used steadily in 64.6% of the articles after 2001, the most used statistical methods(57%) were mean difference comparison between 2 groups. The number of statistical methods mostly used in one article was identified as one in 1931 articles (72.0%). Duncan (36.8%) and Tukey (26.5%) were used for the ANOVA post hoc analysis. SPSS was most frequently used 68% out of Statistical package programs.(the number of mean difference comparison among more than 3 groups was continuously increasing and that makes post hoc being used. skills of statistical methods need to be diversified.) Conclusion: The interest on the proper use of statistical analysis in the research is increasing. This study will contribute to the Evidence-based Teaching on research methodology in Traditional Korean Medicine.

• The Korean Journal of Pain
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• 제23권1호
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• pp.35-41
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• 2010

Background: Statistical analysis is essential in regard to obtaining objective reliability for medical research. However, medical researchers do not have enough statistical knowledge to properly analyze their study data. To help understand and potentially alleviate this problem, we have analyzed the statistical methods and errors of articles published in the Korean Journal of Pain (KJP), with the intention to improve the statistical quality of the journal. Methods: All the articles, except case reports and editorials, published from 2004 to 2008 in the KJP were reviewed. The types of applied statistical methods and errors in the articles were evaluated. Results: One hundred and thirty-nine original articles were reviewed. Inferential statistics and descriptive statistics were used in 119 papers and 20 papers, respectively. Only 20.9% of the papers were free from statistical errors. The most commonly adopted statistical method was the t-test (21.0%) followed by the chi-square test (15.9%). Errors of omission were encountered 101 times in 70 papers. Among the errors of omission, "no statistics used even though statistical methods were required" was the most common (40.6%). The errors of commission were encountered 165 times in 86 papers, among which "parametric inference for nonparametric data" was the most common (33.9%). Conclusions: We found various types of statistical errors in the articles published in the KJP. This suggests that meticulous attention should be given not only in the applying statistical procedures but also in the reviewing process to improve the value of the article.

• 한국학교수학회논문집
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• 제24권2호
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• pp.191-216
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• 2021

본 연구는 2015 개정 수학과 교육과정에 따른 <확률과 통계> 교과서의 통계적 추정 단원에서, 통계적 문제해결과정과 함께 통계적 소양이 어떻게 구현되는가를 분석하였다. 문헌 연구를 통해 통계적 소양의 성장에 기여하는 요소로서 '맥락', '변이성', '수학적·통계적 지식', '공학 도구의 활용', '비판적 태도', '의사소통'을 도출하여 통계적 문제해결과정에 따른 분석 관점을 설정하고, 이를 코드화하여 개발한 분석틀을 토대로 교과서 분석을 실시하였다. 통계적 문제해결과정의 관점에서 분석결과 '자료 분석'에 해당하는 과제가 많이 제시되어 있었고 '결과 해석', '문제 설정'과 관련한 과제가 부족하였다. 통계적 소양의 요소별 반영에 관한 분석 결과 '수학적·통계적 지식'을 요구하는 과제가 가장 많았으며, '비판적 태도', '공학 도구 활용'은 거의 다루어지지 않고 있었다. 이러한 교과서 분석결과를 바탕으로 통계적 소양의 함양 교육을 위한 교육과정 개선 및 교과서 개발에 대한 시사점을 제시하였다.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.1057-1064
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• 2007

From the view of natural language process, quantitative linguistic analysis is a linguistic study relying on statistical methods, and is a mathematical linguistics in an attempt to discover various linguistic characters by interpreting linguistic facts quantitatively through statistical methods. In this study, I would like to introduce a quantitative linguistic analysis method utilizing a computer and statistical methods on literary works. I also try to introduce a use of SynKDP, a synthesized Korean data process, and show the relations between distribution of linguistic unit elements which are used by the hero in a novel #Sassinamjunggi# and theme analysis on literary works.

• Communications for Statistical Applications and Methods
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• 제8권1호
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• pp.281-289
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• 2001

The continuous growth in the use of the World Wide Web is creating the data with very large scale and different types. Analyzing such data can help to determine the life time value of users, evaluate the effectiveness of web sites, and design marketing strategies and services. In this paper, we propose some analysis methods for web data and present an example of a prototypical web data analysis.