• Genomics & Informatics
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• 제10권2호
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• pp.117-122
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• 2012

A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power with increasing numbers of markers analyzed and compared the sample sizes that were required in case-control studies and case-parent studies. We computed the effective sample size and statistical power using Genetic Power Calculator. An analysis using a larger number of markers requires a larger sample size. Testing a single-nucleotide polymorphism (SNP) marker requires 248 cases, while testing 500,000 SNPs and 1 million markers requires 1,206 cases and 1,255 cases, respectively, under the assumption of an odds ratio of 2, 5% disease prevalence, 5% minor allele frequency, complete linkage disequilibrium (LD), 1:1 case/control ratio, and a 5% error rate in an allelic test. Under a dominant model, a smaller sample size is required to achieve 80% power than other genetic models. We found that a much lower sample size was required with a strong effect size, common SNP, and increased LD. In addition, studying a common disease in a case-control study of a 1:4 case-control ratio is one way to achieve higher statistical power. We also found that case-parent studies require more samples than case-control studies. Although we have not covered all plausible cases in study design, the estimates of sample size and statistical power computed under various assumptions in this study may be useful to determine the sample size in designing a population-based genetic association study.

• 지역사회간호학회지
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• 제33권4호
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• pp.418-431
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• 2022

Purpose: The aims of this study were to examine the rate of depression among older adults living alone and to identify factors associated with depression in older adults living alone during the COVID-19 pandemic. Methods: A secondary data analysis was performed using data from the 2020 Korea Community Health Survey. The study participants were 18,824 older adults aged 65 years and over living alone. The data of the complex sample design was analyzed with consideration for weights, stratification, and clustering. Complex sample multiple logistic regression was conducted to identify factors associated with depression in older adults living alone during the COVID-19 pandemic. Results: The results showed that the rate of depression in older adults living alone was 6.3%. Older adults living alone with decreased physical activity, decreased hours of sleep, and an increased or similar frequency of meeting with friends or neighbors were found to be more likely to have depression. In terms of factors related to the practice of COVID-19 infection prevention and control rules, not disinfecting regularly and not wearing a mask indoors were related to depression. For health-related factors, fair or poor self-rated health status, not having breakfast every day, and feeling stressed were related to depression. Conclusion: It is recommended to develop tailored interventions to prevent depression among older adults living alone by considering the factors related to their depression during the COVID-19 pandemic.

• 응용통계연구
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• 제21권4호
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• pp.675-694
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• 2008

축산물 생산비 조사는 우리나라에서 생산되는 7종의 주요 축산물에 대한 생산비를 산출하는 것을 목적으로 한다. 따라서 2005년 농업총조사 자료를 바탕으로 전국의 양축 농가 현황을 파악하였으며, 축산물별 평균 생산비에 대한 추정오차가 3%이내가 되도록 표본 축산농가수를 결정하고, 표본의 대표성을 유지하면서 조사 업무의 수월성을 고려하여 농업특성화 조사구를 1차 추출단위로 활용하였다. 본 연구에서는 농업특성화 조사구들을 양축 특성에 따라 층화하고 각 층에서 예비 표본 조사구를 추출하였다. 다음으로 예비 표본 조사구를 실사하여 1단계 표본을 구성하고, 1단계 표본 양축 농가로부터 최종 표본 농가를 계통추출하는 이중추출법을 이용하였으며 이에 따른 추정법을 제시하였다.

• Biotechnology and Bioprocess Engineering:BBE
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• 제8권4호
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• pp.233-239
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• 2003

For the quantitative analysis of an unknown sample a calibration curve should be obtained, as analytical instruments give relative, rather than absolute measurements. Therefore, researchers should make standard samples with various known concentrations, measure each standard and the unknown sample, and then determine the concentration of the unknown by comparing the measured value to those of the standards. These procedures are tedious and time-consuming. Therefore, we developed a polymer based microfluidic device from polydimethylsiloxane, which integrates serial dilution and capillary electrophoresis functions in a single device. The integrated microchip can provide a one-step analytical tool, and thus replace the complex experimental procedures. Two plastic syringes, one containing a buffer solution and the other a standard solution, were connected to two inlet holes on a microchip, and pushed by a hydrodynamic force. The standard sample is serially diluted to various concentrations through the microfluidic networks. The diluted samples are sequentially introduced through microchannels by electro-osmotic force, and their laser-induced fluorescence signals measured by capillary electrophoresis. We demonstrate the integrated microchip performance by measuring the fluorescence signals of fluorescein at various concentrations. The calibration curve obtained from the electropherograms showed the expected linearity.

• 한국CDE학회논문집
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• 제12권4호
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• pp.245-254
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• 2007

This research proposed feature extraction algorithms as an input of STEP Ap214 data, and feature parameterization process to simplify further design change and maintenance. The procedure starts with suppression of blend faces of an input solid model to generate its simplified model, where both constant and variable-radius blends are considered. Most existing cell decomposition algorithms utilize concave edges, and they usually require complex procedures and computing time in recomposing the cells. The proposed algorithm using reference features, however, was found to be more efficient through testing with a few sample cases. In addition, the algorithm is able to recognize depression features, which is another strong point compared to the existing cell decomposition approaches. The proposed algorithm was implemented on a commercial CAD system and tested with selected industrial product models, along with parameterization of recognized features for further design change.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 춘계학술대회
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• pp.1-14
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• 2003

In man cases, the measurement error variances may be functions of the unknown true values or related covariate. In some cases, the measurement error variances increase in proportion to the value of predictor. This paper develops estimators of the parameters of a linear measurement error variance function under stratified multistage random sampling design and additional conditions. Also, this paper evaluates and compares the power of an asymptotically unbiased test with that of an asymptotically biased test. The proposed method are applied to blood sample measurements from the U.S. Third National Health and Nutrition Examination Survey(NHANES III)

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 춘계학술대회 논문집
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• pp.441-447
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• 2003

In the study, we described on the 3D solid model be made on the AutoCAD haved an effect on the deviation of form as RP manufactures the facetres. The STL file improved the deviation of form as the facetres value but the deviation of form have the difference a little as the RP system. In result, we ruled the correlation with the 3D solid model and the RP sample manufacturing, with manufacture RP sample according to facetres value in complex shape. And we developed the program which recombination the STL file that we make use of the AutoLISP.

• 디지털융복합연구
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• 제11권3호
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• pp.311-316
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• 2013

극저온 환경에서 인체자원 관리의 효율성을 극대화하기 위해 센서네트워크 장비들과 의료정보를 공유할 수 있는 지능형 시료케이스의 RFID 태그를 다중으로 감지하는 기능을 위한 미들웨어와 최적화된 사용자 인터페이스를 설계하고, 유전자원업무 프로세스에서 나타나는 특정 업무를 복합기에서 수행 할 수 있도록 설계하였다.

• Journal of the Korean Data and Information Science Society
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• 제28권2호
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• pp.443-449
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• 2017

Estimation of population proportion like the distribution rate of LED TV and the prevalence of a disease are often estimated based on survey sample data. Population proportion is generally considered as a special form of population mean. In complex sampling like stratified multistage sampling with unequal probability sampling, the denominator of mean may be random variable and it is estimated like ratio estimator. In this research, we examined the estimation of distribution rate based on stratified multistage sampling, and determined some numerical outcomes using stratified random sample data with about 25% of missing observations. In the data used for this research, the survey weight was determined by deterministic way. So, the weights are not random variable, and the population distribution rate and its variance estimator can be estimated like population mean estimation. When the weights are not random variable, if one estimates the variance of proportion estimator using ratio method, then the variances may be inflated. Therefore, in estimating variance for population proportion, we need to examine the structure of data and survey design before making any decision for estimation methods.

• 한국생산제조학회지
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• 제24권4호
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• pp.374-385
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• 2015

In this paper, effective and user friendly CAM software is presented that automatically generates any three dimensional complex toolpaths according to a CAD drawing. In advanced manufacturing, often it is essential to scan the sample following a complex trajectory which consists of short (few microns) and multidirectional moves. The reported CAM software offers constant velocity for all short trajectory elements and provides an efficient shift of tool path direction in sharp corners of a tool trajectory, which is vital for any laser, based precision machining. The software also provides fast modification of tool path, automatic and efficient sequencing of path elements in a complicated tool trajectory, location of reference point and automatic fixing of geometrical errors in imported drawing exchange files (DXF) or DWG format files.