• Korean Journal of Mathematics
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• v.19 no.4
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• pp.453-464
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• 2011

We used SAS program in statistics class as a plan to increase effect of class. Because lease cost of SAS program is high and low-level students felt difficulty of the syntax of SAS program, I planned to introduce other instruction-software. We observe whether it's O.K. to use Excel instead of SAS program and Excel is helpful in having positive attitudes. We try to compare and analyze the merits of two programs. The purpose of this study is to apply Excel to statistics class, cut down the cost of instruction-software, and make students understand statistics more conveniently and easily.

• Korean Journal of Mathematics
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• v.16 no.4
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• pp.471-480
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• 2008

As students with low basic knowledge of mathematics increase, they have had difficulties in studying statistics theory class. By using recent students' characteristics which prefer seeing directly and checking to thinking logically, we try to change the teaching method into teaching in the computer lab(SAS program). We investigate whether changing the teaching method has effects on students' achievements and interests or not. The purpose of this study is to grope for a better teaching and develop mathematics education's satisfaction and qualification.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.959-975
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• 2013

The SAS macro faces program by Friendly (1992) is for Chernoff face analysis, which is one of methods for the visualization representation of multivariate data. In this paper, we examined 18 face features used in the program and presented the modified program depending on the definition of a good face in days present. In addition, a good bank evaluation for 15 domestic banks was performed through Chernoff face analysis based on 11 bank economic indicators representing stability, the consumer satisfaction, soundness, and banks profitability.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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• pp.675-682
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• 2002

In this study, we develop the statistical analysis program for genetic analysis of diallel crosses data by SAS/MACRO, SAS/IML. Genetic analysis is to estimate of genetics parameters and heredity with reciprocal cross and without reciprocal cross. Statistical analysis program solve the problem of the difficulties on the data analysis in field denetics and breeding Therefore the user whoever want to analysis of data on genetics and breeding easily conduct the work saving time and suffering.

• Journal of dental hygiene science
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• v.12 no.3
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• pp.287-294
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• 2012

The aim of this study was to investigate the effect of standardized oral health care program by dental hygiene school students. Target population was 100 University students who attended standardized oral health care program by a dental hygiene school students. Present study was conducted during first and second semester in 2011 at E dental hygiene school. We analysed students' oral health related knowledge, attitude, behavior, and self-oral hygiene care ability after the program. Univariate analysis, Chi-square test and paired t-test were conducted using SAS version 9.2. University students' who attended standardized oral health care program by dental hygiene school students oral health related knowledge, attitude, behavior, and self oral-hygiene care ability were significantly improved whether they have attended oral health related lectures or not(p<.05). It is recommended provide standardized oral health care program to university students by dental hygiene school students to promote their oral health related knowledge, attitude, behavior, and self-oral hygiene care ability.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5901-5908
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• 2014

Background: Data from BreastScreen Australia Screening and Assessment Services (SAS) for 2002-2010 were analysed to determine whether some SAS characteristics were more conducive that others to high screening performance, as indicated by high priority performance indicators and standards. Materials And Methods: Indicators investigated related to: numbers of benign open biopsies, screen-detected invasive cancers, and interval cancers, and wait times between screening and assessment. Multivariate Poisson regression was undertaken using as candidate predictors of performance, SAS size (screening volume), urban or rural location, year of screening, accreditation status, and percentages of clients from culturally and linguistically diverse backgrounds, rural and remote areas, and socio-economically disadvantaged areas. Results: Performance standards for benign biopsies and invasive cancer detection were uniformly met irrespective of SAS location and size. The interval cancer standard was also met, except in 2003 when the 95% confidence interval of the rate still incorporated the national standard. Performance indicators improved over time for: benign open biopsy for second or subsequent screening rounds; rates of invasive breast cancer detection for second or subsequent screening rounds; and rates of small cancer detection. No differences were found over time in interval cancer rates. Interval cancer rates did not differ between non-metropolitan and metropolitan SAS, although state-wide SAS had lower rates. The standard for wait time between screening and assessment (being assessed ${\leq}28$ days) was mostly unmet and this applied in particular to SAS with high percentages of culturally and linguistically diverse women in their screening populations. Conclusions: Gains in performance were observed, and all performance standards were met irrespective of SAS characteristics, except wait times to assessment. Additional descriptive data should be collected on SAS characteristics, and their associations with favourable screening performance, as these may be important when deciding on SAS design

• Journal of the Korean Data and Information Science Society
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• v.8 no.2
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• pp.247-260
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• 1997

The quasi-likelihood models which greatly widened the scope of generalized linear models are widely used in data analysis where a likelihood is not available. Since a quasi-likelihood may not appear to be an ordinary likelihood for any known distribution in the natural exponential family, to fit the quasi-likelihood models the standard statistical packages such as GLIM, GENSTAT, S-PLUS and so on may not directly applied. SAS/IML is very useful for fitting of such models. In this paper, we present simple SAS/IML(version 6.11) program which helps to fit and analyze the quasi-likelihood models applied to the leaf-blotch data introduced by Wedderburn(1974), and the problem with deviance useful generally to model checking is pointed out, and then its solution method is mention through the data analysis based on this quasi-likelihood models checking.

• Journal of Electrical Engineering and Technology
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• v.4 no.1
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• pp.13-18
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• 2009

Because the existing Human-Machine Interface (HMI) for the conventional substation cannot dynamically indicate the configuration information of the Substation Automation System (SAS). In this paper, an intelligent station HMI is proposed for IEC 61850 based substation. The program of the proposed HMI not only can automatically generate the layout of single line diagram, but can also indicate the communication network and functions of IEDs by reading SCL files. It greatly helps monitor the operation status, communication network and each IED dynamically, such as failure detection in SAS. Furthermore, this paper presents the possibility of developing new software for SAS with the full use of IEC 61850-6. Once the software is complete, there is no need to change it when the substation is upgraded or when it is migrated to other IEC 61850 based substations, which is a cost-effective solution.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.633-640
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• 2012

Biological methods are described for the assay of certain substances and preparations whose potency cannot be adequately assured by chemical or physical analysis. The principle applied through these assays is of a comparison with a standard preparation to determine how much of the examined substance produces the same biological effects as a given quantity (the Unit) of the standard preparation. In these dilution assays, to estimate the relative potencies of the unknown preparations to the standard preparations, it is necessary to compare dose-response relationships of standard and unknown preparations. The dose-response relationship in the dilution assay is non-linear and sigmoid when a wide range of doses is applied. The parallel line model (applied to the dose region with the steepest slope) is used to estimate the relative potency. In this paper, the statistical theory in the parallel line model is explained with an application to a dilution assay data. The parallel line method is implemented in a SAS program and is available at the author's homepage(http://cafe.daum.net/go.analysis).

• Journal of Korean Critical Care Nursing
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• v.12 no.1
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• pp.13-21
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• 2019

Purpose : The aim of this study was to identify the factors influencing nursing performance in caring for patients with delirium. Methods: This study included 166 nurses who worked for more than 6 months at 4 general hospitals in Jeju Province, South Korea. Patients were administered a self-reported questionnaire. The study was carried out from May 20, 2014, to June 19, 2014. Data analyses were conducted using stepwise multiple regression, Pearson's correlation coefficients, t-test, and analysis of variance using the SAS WIN 9.2 program (SAS Institute, Cary, NC, USA). Results: The factors associated with nurses' performance in delirium care were work position (${\beta}=.22$, t=2.58, p <.001) and having received education on delirium care (${\beta}=.16$, t=2.24, p=.026). Conclusion: The results showed that the nurses' work position and having received education on delirium care affected nursing performance in delirium care. In order to improve nurses' performance in delirium care, hospitals should provide a delirium education program for nurses and establish standard guidelines on delirium care.