• Title/Summary/Keyword: Adjusted Model

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Nonparametric method using linear statistics in analysis of covariance model (공분산분석에서 선형위치통계량을 이용한 비모수 검정법)

  • Choi, Yoonjung;Kim, Dongjae
    • The Korean Journal of Applied Statistics
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    • v.30 no.3
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    • pp.427-439
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    • 2017
  • Quade (1967) proposed RANK ANCOVA, which is a nonparametric method to test differences between treatments when there are covariates. Hwang and Kim (2012) also proposed a joint placement test on covariate-adjusted residuals. In this paper, we proposed a new nonparametric method to control the effect of covariate on a response variable that uses linear statistics on covariate adjusted-residuals. The score function used in the linear statistics was proposed by Jeon and Kim (2016). Monte Carlo simulation is also conducted to compare the empirical powers of the proposed method with previous methods.

Study on the Estimation of Seasonal Ambient Current for the Application of Ambient Adjusted Line Rating(AAR) in Overhead Transmission Lines Using Risk Tolerance(RT) Method (가공송전선로의 AAR 적용 시 Risk Tolerance 분석을 이용한 계절별 최대 허용전류 산정 및 적용에 관한 연구)

  • Lee, Jaegul;Bae, Youngjae;Song, Jiyoung;Shin, Jeonghoon;Kim, Yonghak;Kim, Taekyun;Yoon, Yongbeum
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.1
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    • pp.7-15
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    • 2017
  • Ambient Adjusted line Rating(AAR) method for overhead transmission lines considering Risk Tolerance(RT) was proposed in this paper. AAR is suitable for system operators to plan their operation strategy and maintenance schedule because this can be designed as a seasonal line rating. Several candidate transmission lines are chosen to apply the proposed method in the paper. As a result, it is shown that system reliability was significantly enhanced through maximizing transfer capability, solving the system constraints.

Effects of Diagnosis-Related Group-Based Payment System on the Risk-Adjusted Cesarean Section Rate (Diagnosis-Related Group 지불제도가 위험도 보정 제왕절개 분만율에 미치는 영향)

  • Kwak, Jin-Mi;Lee, Kwang-Soo
    • Health Policy and Management
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    • v.31 no.2
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    • pp.180-187
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    • 2021
  • Background: This study analyzed the effect of applying the diagnosis-related group (DRG)-based payment system, which was implemented in July 2012 for hospitals and clinics nationwide, on the cesarean section rate. Methods: The subjects of the study were divided into new groups that participated in the payment system after July 2012 and maintenance groups that participated in the payment system before July 2012. As an analysis method, a difference-in-difference analysis, which is a quasi-experimental design, was used. The risk-adjusted cesarean section rate was used as a dependent variable. Results: Seven risk factors (malpresentation of fetus, eclampsia, multiple pregnancies, problems in the placenta, previous Cesarean section, cephalopelvic disproportion, problems in amniotic fluid) were included in the final risk-adjustment model, and found to have a statistically significant relationship with the cesarean section rate. Results showed that the risk-adjusted cesarean section rate increased significantly in new groups after the application of the DRG-based payment system. Conclusion: Study results provided policy implications for the reorganization of the DRG-based system should that reflects the demands of obstetricians, such as organizing a consultative body with obstetricians and establishing a reasonable fee.

A Convergence Study in the Severity-adjusted Mortality Ratio on inpatients with multiple chronic conditions (복합만성질환 입원환자의 중증도 보정 사망비에 대한 융복합 연구)

  • Seo, Young-Suk;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.245-257
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    • 2015
  • This study was to develop the predictive model for severity-adjusted mortality of inpatients with multiple chronic conditions and analyse the factors on the variation of hospital standardized mortality ratio(HSMR) to propose the plan to reduce the variation. We collect the data "Korean National Hospital Discharge In-depth Injury Survey" from 2008 to 2010 and select the final 110,700 objects of study who have chronic diseases for principal diagnosis and who are over the age of 30 with more than 2 chronic diseases including principal diagnosis. We designed a severity-adjusted mortality predictive model with using data-mining methods (logistic regression analysis, decision tree and neural network method). In this study, we used the predictive model for severity-adjusted mortality ratio by the decision tree using Elixhauser comorbidity index. As the result of the hospital standardized mortality ratio(HSMR) of inpatients with multiple chronic conditions, there were statistically significant differences in HSMR by the insurance type, bed number of hospital, and the location of hospital. We should find the method based on the result of this study to manage mortality ratio of inpatients with multiple chronic conditions efficiently as the national level. So we should make an effort to increase the quality of medical treatment for inpatients with multiple chronic diseases and to reduce growing medical expenses.

A Study on Information Availability and Asymmetric Volatility in the Korea Stock Market (정보량과 비대칭적 변동성에 관한 연구)

  • An, Seung-Cheol;Jang, Seung-Uk;Ha, Jong-Bae
    • The Korean Journal of Financial Management
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    • v.25 no.1
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    • pp.109-140
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    • 2008
  • The primary objective of this paper investigates whether asymmetric volatility phenomenon is caused by differences of opinion among investors and analyses information availability has an effect on asymmetric volatility. The empirical test period covers recent 6 years from January 4, 2000 to December 29, 2005. Five portfolios have been formed according to information availability(volume and market value). For the purpose of this study, We use TGARCH model, TGARCH-M model and adjusted model which include trading volume as a proxy differences of opinion among investors. The results are summarized as follows ; First, adjusted model analysis shows that asymmetric volatility phenomenon is disappeared or asymmetric coefficient and ratio is decreased than basis model. Second, portfolio analysis shows that the higher volume and market value, the more prominent asymmetric volatility phenomenon. And adjusted model analysis shows the higher volume and market value, the more decrease asymmetric ratio. Over all, assertion that differences of opinion among investors has caused asymmetric volatility phenomenon is regarded as reasonable. And, We see that information availability have great effect on asymmetric volatility phenomenon. We think that theses results can also occur opinion adjustment of optimistic investors. Namely, asymmetric volatility phenomenon can occur difference of information authenticity.

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Development of an Operation Model for Technical Proposal-Based Tender of Public Construction Projects (공공건설공사의 기술제안형 입찰 운영모델 개발)

  • Yu, Il-Han;Kim, Kyung-Rai
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.2
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    • pp.136-145
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    • 2008
  • Recently the Ministry of Finance and Economy of Korea launched two new project delivery systems called "Best Value Contract (Design-Bid-Build)" and "Bridging Contract (Design-Build)" in October of 2007 by revising enforcement ordinances of "Act on Contracts to Which the State is a Party". These project delivery systems require the bidders to submit technical proposal adjusted to the project characteristics and objectives for selecting the contractor by evaluating technical proposals. This research aimed to suggest guideline to effectively operate the project delivery systems described above. To reach the goal of the research, the framework of the operation model was developed, which includes the four categories: the standard bidding process, the technical proposal requirements, the technical proposal evaluation criteria, and the award methods. The contents of the four categories above were fulfilled throughout conferring with the advisory experts. In particular, the award methods, which are the important decision-making factor in the perspective of the owner, consist of four types: Low Bid-Fully Qualified, Weighted Criteria, Adjusted Bid, and Adjusted Score. The quantitative features and application criteria of these four types of award methods were suggested throughout the simulation using the virtual case.

A Study on Identification of Optimal Fuzzy Model Using Genetic Algorithm (유전알고리즘을 이용한 최적 퍼지모델의 동정에 관한연구)

  • 김기열
    • Journal of the Korean Institute of Intelligent Systems
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    • v.10 no.2
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    • pp.138-145
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    • 2000
  • A identification algorithm that finds optimal fuzzy membership functions and rule base to fuzzy model isproposed and a fuzzy controller is designed to get more accurate position and velocity control of wheeled mobile robot. This procedure that is composed of three steps has its own unique process at each step. The elements of output term set are increased at first step and then the rule base is varied according to increase of the elements. The adjusted system is in competition with system which doesn't include any increased elements. The adjusted system will be removed if the system lost. Otherwise, the control system is replaced with the adjusted system. After finished regulation of output term set and rule base, searching for input membership functions is processed with constraints and fine tuning of output membership functions is done.

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Cognitive Ability in Midlife and Labor Market Participation Among Older Workers: Prospective Cohort Study With Register Follow-up

  • Sundstrup, Emil;Hansen, Ase M.;Mortensen, Erik L.;Poulsen, Otto M.;Clausen, Thomas;Rugulies, Reiner;Moller, Anne;Andersen, Lars L.
    • Safety and Health at Work
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    • v.11 no.3
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    • pp.291-300
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    • 2020
  • Background: The study aimed to determine the association of individual cognitive ability in late midlife with labor market participation among older workers. Methods: This prospective cohort study estimates the risk of long-term sickness absence, disability pension, early retirement, and unemployment from scores on the Intelligenz-Struktur-Test 2000R by combining data from 5076 workers from the Copenhagen Aging and Midlife Biobank with a register on social transfer payments. Analyses were stepwise adjusted for age, gender, physical and psychosocial work environment, health behaviors, occupational social class, education, and chronic diseases. Results: In the fully adjusted model, low cognitive ability (≥1 standard deviation below the mean for each gender) and high cognitive ability (≥1 standard deviation above the mean for each gender) were not associated with risk of any of the four labor market outcomes. Conclusion: Individual cognitive ability in late midlife was not associated with risk of long-term sickness absence, disability pension, early retirement, and unemployment in the fully adjusted model. Thus, no direct effect of individual cognitive ability in late midlife was observed on the risk of permanently or temporarily leaving the labor market.

A Study on Quality-incorporating Models in Evaluation of Hospital Efficiency with Data Envelopment Analysis - An Analysis on National University Hospitals in Korea - (DEA에 의한 병원 효율성 평가에서 질적 측면 통합 모형에 관한 연구 - 국립대학교병원에 대한 분석을 중심으로 -)

  • Shin, Dong-Wook;Shin, Chong-Gak;Jung, Kee-Taig
    • Korea Journal of Hospital Management
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    • v.13 no.3
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    • pp.69-93
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    • 2008
  • Rising healthcare cost is a global phenomenon that justifies governments' introduction of 'incentive regulation' plan for the improvement of hospital efficiency. A number of previous studies tried to evaluate the efficiency of healthcare organization by using Data Envelopment Analysis(DEA), a common efficiency benchmarking method. However, there is a concern that this kind of efficiency evaluation could induce "quantity-quality trade-off". Moreover, as quality aspect is especially important in terms of 'effectiveness' of health care, it should be considered in efficiency evaluation of healthcare organization. A number of different models were tried so far to incorporate quality aspect into DEA, however, none is universally recognized as a standard. Thus, in this study, previous quality-incorporating DEA models were categorized into 6 types according to the way of incorporating quality aspect, and strengths and limitations of each type were reviewed with a set of artificial data as an example. Based on this review, a new quality-incorporating efficiency evaluation model, named Quality-adjusted output DEA(QAO-DEA), was suggested. As an exploratory empirical analysis, technical efficiency of human resource were measured with different quality-incorporating DEA models, using 2004 data from National University Hospitals. In conclusion, Quality-adjusted output DEA(QAO-DEA) model seems to be one of the most desirable alternatives to incorporate quality aspect in efficiency evaluation of hospital, and deserves the consideration as a policy tool to induce simultaneous improvement of both efficiency and quality.

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Position Control of Wheeled Mobile Robot using Self-Structured Neural Network Model (자율가변 구조의 신경망 모델을 이용한 구륜 이동 로봇의 위치 제어)

  • Kim, Ki-Yeoul;Kim, Sung-Hoe;Kim, Hyun;Lim, Ho;Jeong, Young-Hwa
    • The Journal of Information Technology
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    • v.4 no.2
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    • pp.117-127
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    • 2001
  • A self-structured neural network algorithm that finds optimal fuzzy membership functions and nile base to fuzzy model is proposed and a fuzzy-neural network controller is designed to get more accurate position and velocity control of wheeled mobile robot. This procedure that is composed of three steps has its own unique process at each step. The elements of output term set are increased at first step and then the rule base Is varied according to increase of the elements. The adjusted controller is in competition with controller which doesn't include any increased elements. The adjusted controller will be removed if the control-law lost. Otherwise, the controller is replaced with the adjusted system. After finished regulation of output term set and rule base, searching for input membership functions is processed with constraints and fine tuning of output membership functions is done.

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