• Title/Summary/Keyword: selection bias

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SELECTION OF WAELENGTH REGION FOR PLS BRIX CALIBRATION OF MANGO BY MLR METHOD

  • Sarawong, Sirinnapa;Sornsrivichai, Jinda;Kawano, Sumio
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1625-1625
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    • 2001
  • The calibration equations for Brix value determination of intact mango were developed using the NIR spectra in a short wavelength region from 700 to 1100 nm. Multiple linear regression (MLR) and partial least square regression (PLS) was used for the calibration. It was found that the best wavelength region for PLS calibration from 900 to 1000 nm was similar to the wavelength region selected by MLR from 906 nm to 996 nm. Both MLR and selected region PLS provided sufficiently accurate prediction equations for Brix determination of intact mango. For MLR, the prediction results were SEP = 0.45 Brix and Bias = -0.04 Brix while PLS prediction results were SEP : 0.46 Brix and Bias = -0.2 Brix. It was concluded that MLR and PLS would have similar abilities in making calibration equation for Brix determination of intact mango if the appropriate wavelengths or wavelength region were selected. The appropriate wavelength region for PLS regression could be assumed by using the wavelength region selected by MLR in place of random selection, The relationship between calibration results of MLR and PLS regression is discussed.

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An Empirical Study on the Effects of Private Tutoring and EBS Engagement on Mathematics Achievement (사교육 경험과 EBS 방송 시청이 수학성취도에 미치는 영향에 대한 실증연구)

  • Hong, Soon Sang;Hong, Yoon Pyo
    • Journal of the Korean School Mathematics Society
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    • v.19 no.2
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    • pp.123-151
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    • 2016
  • The purpose of this study is to analyze the existing studies about the effect on private tutoring and EBS broadcasting which is considered as the alternative which was presented by education authorities. And this study attempts to measure the degree of the effects of private tutoring and EBS engagement on mathematics achievement using various quantitative methodologies. T-test and OLS multiple regression indicates some selection-bias which has positive direction compared to the PSM method closed to experimental design. So, it will be required to consider the methodology which measures the exact effect of institution or participation when we conduct the observational studies.

Are Private Schools More Effective than Public Schools?: Experience form a Natural Experiment in Korea (사립학교가 공립학교에 비해 보다 효율적인가?: 한국의 자연실험 경험)

  • Nam, Kigon;Sung, Kisun
    • Journal of Labour Economics
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    • v.32 no.3
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    • pp.91-121
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    • 2009
  • Utilizing the fact that student allocation to private or public high schools in Korea is done randomly within a given school district, this study conducted a natural experiment, free from selection bias, to analyze whether private schools are more effective than public schools in terms of enhancing students' academic performance. After analyzing a model that controls the fixed effects of school districts, it was found that private schools do not have a statistically significant impact compared to public schools with respect to improving academic records. Nevertheless, the private school effect has shown a positive value equivalent to 0.13 standard deviation for female students at the highest academic levels.

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Cyberspace and survey research: The methodological implications and issues of online survey research (사이버공간과 사회조사:온라인 사회조사의 쟁점과 과제)

  • 조동기
    • Survey Research
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    • v.1 no.1
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    • pp.73-108
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    • 2000
  • This study investigates methodological implications of cyberspace and information technology for online survey research Online survey method provides useful methodological tools for collecting empirical data for the study of cyberspace, In terms of sampling frame , selection method, and questionnaire from four major types of the online survey research can be found: member survey visitor survey e-mail survey and the electronic survey. Online survey research with sample design(population specification error. sampling frame error, selection error) measurement (measurement instrument bias system-related processing error, nonrespone, and response bias) and research ethics (privacy and netiquette) pose important methodological issues for the survey. The realization of the technological possibilities of online survey will be possible only through a right consideration of these issues.

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Difference in Length of Stay and Treatment Outcome of Pulmonary Tuberculosis Inpatients between Health Insurance Types (의료보장유형에 따른 폐결핵 입원환자의 재원기간과 치료결과 차이분석)

  • Kim, Sang Mi;Lee, Hyun Sook;Hwang, Seul ki
    • Korea Journal of Hospital Management
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    • v.21 no.4
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    • pp.45-54
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    • 2016
  • The purpose of this study is to identify patient and hospital characteristics with pulmonary tuberculosis and to analyze factors which were influencing length of stay and treatment. The Korean National Hospital Discharge In-depth Injury Survey database from 2006 to 2012 was used for analysis. Study subjects were 4,704 patients and analyzed by using frequency, chi-square and logistic regression through using STATA 12.0. To avoid selection bias, we used propensity score matching. Analysis results show that the length of stay and treatment of pulmonary tuberculosis was different between insurance types. Patients characteristic(female, comorbidity, admission by outpatient department, medical insurance type) and hospital characteristic(500-999 beds, over 1000 beds) significantly influence length of stay. Admission by outpatient department and over 1000 beds are significantly influence treatment. Based on these findings, it is necessary to clarify between length of stay and treatment outcome by medical aids beneficiaries and audit hospitals follow discharge guidelines in pulmonary tuberculosis patients.

The effect of ability grouping on Mathematics achievement - Utilizing the Propensity Score Matching - (수준별 이동수업이 고등학생의 수학 성취도에 미치는 영향에 대한 연구 - 경향점수매칭법(Propensity Score Matching)을 활용하여 -)

  • Hong, Soon Sang;Lee, Deok Ho
    • Journal of the Korean School Mathematics Society
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    • v.18 no.1
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    • pp.149-167
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    • 2015
  • In this study, we estimate the effect of ability grouping on mathematics achievement empirically. We use propensity score matching(PSM) method to minimize selection bias and estimate the effect of ability grouping on the mathematics standard score of Scholastic Ability Test with the KELS(Korea Education Longitudinal Study) 6th stage data. The result indicated that relationship between ability grouping and mathematics achievement is positive and Policy efforts is needed to operate ability grouping effectively.

Linear cascode current-mode integrator (선형 캐스코드 전류모드 적분기)

  • Kim, Byoung-Wook;Kim, Dae-Ik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.10
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    • pp.1477-1483
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    • 2013
  • This paper proposes a low-voltage current-mode integrator for a continuous-time current-mode baseband channel selection filter. The low-voltage current-mode linear cascode integrator is introduced to offer advantages of high current gain and improved unity-gain frequency. The proposed current-mode integrator has fully differential input and output structure consisting of CMOS complementary circuit. Additional cascode transistors which are operated in linear region are inserted for bias to achieve the low-voltage feature. Frequency range is also controllable by selecting proper bias voltage. From simulation results, it can be noticed that the implemented integrator achieves design specification such as low-voltage operation, current gain, and unity gain frequency.

A Study on Effects of Adopting ICT in Livestock Farm Management on Farm Sales Revenue (정보화기기 활용이 국내 축산농가 총판매금액에 미치는 영향 분석)

  • Hanna Jeong;Jimin Shim;Yerin Lim;Jongwook Lee
    • Journal of Korean Society of Rural Planning
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    • v.30 no.1
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    • pp.81-97
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    • 2024
  • This study examines the effects of adopting Information and Communication Technology (ICT) in livestock farm management on farm sales revenue. Using the 2020 Census of Agriculture, Forestry, and Fisheries, a nationally representative data set constructed by Statistics Korea, this study focuses on a sample of 9,020 livestock farms in South Korea. We employ Propensity Score Matching (PSM) methods to address the potential selection bias between 2,076 farms that used ICT for livestock farm management and 6,944 farms that did not. The findings consistently show that the use of ICT significantly increases farm revenue, taking into account the selection bias. The utilization of ICT in livestock farms leads to a higher increase in sales revenue, particularly for farms with greater sales.

Efficacy of Herbal Medicines for the Treatment of Psoriasis : Systematic Review and Meta-analysis (건선의 한약치료 효과에 대한 체계적 문헌 고찰과 메타 분석)

  • Ryu, Deok-Hyun;Ryu, Deok-Seon;Roh, Seok-Sun
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.30 no.3
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    • pp.1-19
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    • 2017
  • Objectives : This study aimed to validate the effect of herbal medicine intervention to relieve the symptoms of psoriasis using systematic review and meta-analysis and provide the newest reason of effectiveness of Korean medicine to psoriasis. Methods : Data were collected through electronic database including Pubmed, Cochrane CENTRAL, NDSL OASIS, Koreantk. Two experts assessed risk of bias of randomized controlled trials by Cochrane group's Risk of Bias tool after searching, reviewing and selecting papers. Data were analyzed using Review Manager(RevMan) 5.3 and Comprehensive Meta Analysis 2.0. Results : Total number of selected trials was 16 randomized controlled trials. This study evaluated the risk of bias and effectiveness of herbal medicine to psoriasis. There were high frequency uncertain in selection bias, performance bias and detection bias. In this meta-analysis, Korean medicine treatment was more effective than western medicine (ES:0.507, 95%CI:0.147-0.867) and placebo (ES:0.955, 95%CI:0.598-1.312). Conclusions : Herbal medicine intervention can be an effective for treatment in psoriasis. But enhancing levels of evidence, we must try to accumulate clinical researches of herbal medicine to psoriasis in Korea.

Recommendations for the Construction of a Quslity-Controlled Stress Measurement Dataset (품질이 관리된 스트레스 측정용 테이터셋 구축을 위한 제언)

  • Tai Hoon KIM;In Seop NA
    • Smart Media Journal
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    • v.13 no.2
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    • pp.44-51
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    • 2024
  • The construction of a stress measurement detaset plays a curcial role in various modern applications. In particular, for the efficient training of artificial intelligence models for stress measurement, it is essential to compare various biases and construct a quality-controlled dataset. In this paper, we propose the construction of a stress measurement dataset with quality management through the comparison of various biases. To achieve this, we introduce strss definitions and measurement tools, the process of building an artificial intelligence stress dataset, strategies to overcome biases for quality improvement, and considerations for stress data collection. Specifically, to manage dataset quality, we discuss various biases such as selection bias, measurement bias, causal bias, confirmation bias, and artificial intelligence bias that may arise during stress data collection. Through this paper, we aim to systematically understand considerations for stress data collection and various biases that may occur during the construction of a stress dataset, contributing to the construction of a dataset with guaranteed quality by overcoming these biases.