• 대한임상검사과학회지
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• 제45권2호
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• pp.60-65
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• 2013

Data from repeated measurements are accomplished through repeatedly processing the same subject under different conditions and different points of view. The power of testing enhances the choice of pertinent analysis methods that agrees with the characteristics of data concerned and the situation involved. Along with the clinical example, this paper compares the analysis of the variance on ex-post tests, gain score analysis, analysis by mixed design and analysis of covariance employable for repeating measure. Comparing the analysis of variance on ex post test, and gain score analysis on correlations, leads to the fact that the latter enhances the power of the test and diminishes the variance of error terms. The concluded probability, identified that the gain score analysis and the mixed design on interaction between "between subjects factor" and "within subjects factor", are identical. The analysis of covariance, demonstrated better power of the test and smaller error terms than the gain score analysis. Research on four analysis method found that the analysis of covariance is the most appropriate in clinical data than two repeated test with high correlation and ex ante affects ex post.

• 성인간호학회지
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• 제21권2호
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• pp.245-256
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• 2009

Purpose: To describe the lived experience of nursing students when faced with clinical judgment in a nursing practicum at the hospital. Methods: A descriptive research design was utilized. Participants were 79 students in the clinical practicum. Participant consent was obtained for ethical protection. Data were collected from August to December 2007 using a semi-structured questionnaire. Content analysis was utilized for data analysis. Results: Two categories and 5 themes were extracted from the data for 'difficult' and 'easy' clinical judgments. For the student category, the two themes were 'knowledge' and 'skill', while the three themes for the clinical education environment category were, 'judgment of clinical symptoms and signs', 'differences between theory and practice' and 'human relationships'. For coping, 2 categories and 5 themes were extracted for the difficult clinical judgment situation, while one category and one theme were found for the easy clinical judgment situation. Conclusion: To develop students' clinical judgment, there is need to develop the method of clinical skills using simulation in clinical teaching. For future research, a study on factors affecting clinical judgment of nursing students in hospitals is needed.

• 응용통계연구
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• 제22권2호
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• pp.317-327
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• 2009

Adaptive Design은 임상시험 도중에 얻어진 자료에 대해 중간분석을 실시한 결과에 따라 임상시험의 중요한 요소들을 변경할 수 있도록 하는 디자인이다. 이러한 시험디자인이 치료적 확증 임상시험에 사용되는 경우, 중간분석은 임상시험에 참여하지 않은 전문가들로 구성된 독립적인 기구에 의하여 수행되어야 하며, 그렇지 않은 경우 bias(삐뚤림)를 유발시킬 수 있음을 여러 국제 가이드라인을 인용하여 지적할 것이다. 국제 가이드라인들은 중간분석의 독립적인 수행을 위하여 Independent Data Monitoring Committee(독립적 자료모니터링 위원회)를 둘 것을 권고하고 있다.

• 대한임상검사과학회지
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• 제44권4호
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• pp.239-244
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• 2012

This study aims to analysis the curriculum problems and its improvements and to investigate curricula satisfaction among the students majoring in Clinical Pathology. A college used as a population, and 80 effective survey data were collected by sampling the graduates who carried out the clinical field training in third grade year. For statistical analysis of the collected data, the Stata(version 12.0) statistical package was used for frequency analysis, pearson correlations test and multiple regression analysis. The results of the analysis were as follows; First, the result showed that the synthetical theory curriculum has an positive effect on curricula satisfaction. Second, it was found that extension of both the clinical field training and laboratory and practice education have an significant influence direction of positiveness on curricula satisfaction. Third, as the problems of curriculum, the students selected shortage of english subjects connected with the job. We must intensify additional subjects (english ability) for job as the improvement of curriculum. Accordingly, academic, industrial circles and students are supposed to jointly seek for the plan for the enhancement of clinical field training satisfaction.

• 보건의료산업학회지
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• 제12권4호
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• pp.203-217
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• 2018

Objectives : This study aimed to investigate the clinical practice ability and satisfaction of clinical training of health-medical information management major students. Methods : The data were collected from 68 persons from students finished clinical training at medical record (information) team using self administered questionnaires. The data were analyzed using t-test, ANOVA and correlation with SPSS 22.0 version. Results: Performance of data collection, data management, and data analysis were analyzed in three areas of the job area. In terms of academic characteristics and correlation, they were not related to the level of satisfaction with the practical experience. Conclusions : Research on a virtuous cycle clinical practice program that analyzes the factors by assessing the satisfaction level of clinical practice in each area of health care information management will be conducted continuously.

• International Journal of Advanced Culture Technology
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• 제11권1호
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• pp.27-35
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• 2023

This study was a cross-sectional descriptive survey study that confirms the effect on subjects that prefer clinical practice in order to prepare basic data for efficient clinical practice guidance for nursing college students. The study participants were 201 students attending C University, and the data collection period was from October 1 to October 15, 2022. The collected data were analyzed using SPSS 18.0 as descriptive statistics, Pearson correlation, Chi square test, ANOVA test, and Multiple regression test. As a result of the analysis, it was found that clinical decision-making and critical thinking were correlated under the statistical significance level (r=.730, p<0.01). The most favorite clinical practice department was community nursing, and male students preferred community nursing the most (Male=45.6%, χ²=.000), female students were found to prefer similar levels of practical subjects with child nursing , adult nursing, and maternal nursing(χ²=000).Clinical decision-making was found to be higher in students who preferred community nursing at a statistical significance level than those who preferred child nursing (F=4.91, p<0.01). Critical thinking was higher among students who preferred adult nursing than those who preferred other subjects (F=4.65, p<0.01). Through the analysis results, it was found that general characteristics vary, but clinical decision-making ability and critical thinking affect the preference of clinical practice subjects. Therefore, based on the results of this study, the professor of clinical practice suggests the development of a program to foster clinical decision-making and critical thinking to make students interested in clinical practice subjects.

• 한국인터넷방송통신학회논문지
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• 제19권1호
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• pp.187-195
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• 2019

최근 빅데이터 관련 기술들이 발전함에 따라 다양한 분야에서 생성되는 데이터들을 수집하여 저장하고 처리 및 분석할 수 있게 되었다. 이러한 빅데이터 기술들을 임상 결과 분석에 활용하고, 임상시험 설계 최적화를 통해 보건의료분야에 투입되는 막대한 비용을 절감할 수 있을 것으로 전망된다. 따라서 본 논문에서는 임상 결과를 분석하여 임상시험 기간과 비용 등을 줄일 수 있는 가이드 정보를 제시하고자 한다. 먼저 Sqoop을 사용하여 임상 결과 데이터가 저장된 관계형 데이터 베이스로부터 HDFS에 수집하여 저장하고, 하둡을 기반으로 동작하는 처리 도구인 Hive를 이용하여 데이터를 처리한다. 공공분야, 기업 등 각 분야에서 많이 활용되고 있는 빅데이터 분석 도구인 R을 이용하여 연관성 분석을 한다.

• Communications for Statistical Applications and Methods
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• 제30권1호
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• pp.1-19
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• 2023

Observational data with missing or incomplete data are common in biomedical research. Multiple imputation is an effective approach to handle missing data with the ability to decrease bias while increasing statistical power and efficiency. In recent years propensity score (PS) matching has been increasingly used in observational studies to estimate treatment effect as it can reduce confounding due to measured baseline covariates. In this paper, we describe in detail approaches to competing risk analysis in the setting of incomplete observational data when using PS matching. First, we used multiple imputation to impute several missing variables simultaneously, then conducted propensity-score matching to match statin-exposed patients with those unexposed. Afterwards, we assessed the effect of statin exposure on the risk of heart failure-related hospitalizations or emergency visits by estimating both relative and absolute effects. Collectively, we provided a general methodological framework to assess treatment effect in incomplete observational data. In addition, we presented a practical approach to produce overall cumulative incidence function (CIF) based on estimates from multiple imputed and PS-matched samples.

• 센서학회지
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• 제32권6호
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• 한국보건간호학회지
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• 제19권2호
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• pp.217-228
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• 2005

Purpose: The purpose of this study is to understand nursing students' experiences during clinical practice at a public health center. Method: This research used narrative inquiry far data collection. From April 2005 to June 2006, data collection was conducted by open-ended interview, questionnaire and close observation. The participants, who were student nurses, were willing to take part in this study. Results: On the basis of these data, the experiences of clinical practice at public health center were: 1) when the student nurses begin clinical practice at public health centers for the first time, most of the students feel fearful, nervous and stressed. They also mentioned having a hard time being polite to clients and the staff. 2) The students had new experiences at the health public center compared with clinical practice. Especially, the student nurses who were determined to be good nurses were doing home visiting care service. Not only did they have the opportunity to confirm their identity as nurses, but also the students change their career course from clinical nursing to public health nursing. 4) They reflected on themselves after home visiting care service. Conclusion: On the basis of these findings, the following recommendations are made. 1) Data collection and analysis are needed, net only through the narrative method, but also through other various qualitative methods. 2) Comparative study is necessary to enhance clinical experiences through the analysis of the interfering factors and the original experiences.