• 제목/요약/키워드: Rank regression

검색결과 286건 처리시간 0.026초

임의회귀 모형 사용시 마지막 세대의 불완전한 기록이 추정육종가에 미치는 효과 (Effects of Number of Incomplete Data in Latest Generation on the Breeding Value Estimated by Random Regression Model)

  • 조광현;나승환;박병호;최재관;서강석;이영창;박종대;손삼규;;김시동
    • Journal of Animal Science and Technology
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    • 제48권2호
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    • pp.143-150
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    • 2006
  • 본 연구는 현재 유전평가에 사용하는 모델보다 많은 장점을 지니고 있는 임의회귀 검정일 모형(Random regression test-day model)을 이용할 때 마지막 세대의 불완전한 검정기록이 유전능력에 어떤 영향을 주는지 알아보고자 실시하였다.이용된 재료는 유우군능력검정사업을 통하여 수집된 2000년 1월부터 2005년 6월까지의 825,157개의 초산의 검정일 자료를 이용하였으며, 유전모수와 종모우의 육종가 추정은 REMLF90, BLUPF90을 이용하였다.

농촌어메니티 자원분포와 유형별 자원의 특성 분석 - 전북 순창군을 대상으로- (An Analysis of Characteristics according to Distribution and Classification of Rural Amenity Resources - Centered on of Sunchang County in Jeonbuk Province -)

  • 박재철
    • 한국조경학회지
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    • 제37권4호
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    • pp.12-21
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    • 2009
  • 본 연구는 2005년부터 농촌진흥청에서 전국적인 농촌어메니티 자원 조사를 통하여 자료를 데이터 베이스화 하고 있는 바 2005년부터 2008년까지 전수조사가 이루어진 순창군을 대상으로 읍 면별 어메니티 자원 특성이 나타나고 있는지를 확인하고 이를 분류하여 지역 어메니티 자원 특성을 반영한 지역 활성화 방안 마련에 기여하고자 하는 데 목적이 있다. 조사 데이터 마련을 위하여 현지조사와 면접 조사가 이루어졌으며, 이를 보완하기 위해 인터넷 자료를 취합하였다. 읍 면별 어메니티 자원 특성 분석을 위하여 기술통계 분석, 회귀분석, 상관분석이 이루어졌다. 그리고 광역인 전라북도, 전국 및 진안군과의 어메니티 자원 특성을 비교하기 위하여 순창군 어메니티 자원과의 회귀분석을 수행하였다. 더 나아가 읍 면지역의 유형을 구분하기 위하여 순위 분석 방법이 수행되었으며, 이를 통해 어메니티 자원 유형이 도출되었다.

여대생의 비만스트레스와 관련 요인에 관한 연구 (A Study on Obesity Stress and Related Factors among Female College Students)

  • 권영숙
    • 지역사회간호학회지
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    • 제19권3호
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    • pp.431-442
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    • 2008
  • Purpose: The Purpose of this study was to examine the degree of obesity stress and analyze factors having an effect on obesity stress among college women. Method: The subjects were 347 female students from a university in J City. Data were collected using a self-report questionnaire for general characteristics, health-related characteristics, and current and preferred somatotype. Obesity stress was measured using 10 items developed by Cho (1996) based on Body Attitudes questionnaire (BAQ) of Ben-Tovim and Walker (1991). The survey was conducted from September 4 to September 7, 2007. Data were analyzed by t-test, ANOVA, Scheffe test, Spearman's rank correlation test, and stepwise multiple regression using SPSS 14.0. Results: The average score of obesity stress was $2.78{\pm}0.90$ out of 5.00. Stepwise multiple regression analysis showed that the major factors that affect obesity stress of female college students were perceived body shape, disagreement between current and preferred somatotype, history of weight control, body mass index (BMI), and perceived health status, and these factors explained 38.4% of obesity stress. Conclusion: Subjective judgment in the perception of or preference for body shape was the most important factor affecting obesity stress in female college students. Therefore, a plan is necessary to mitigate obesity stress and evaluate individually subjects who perceive themselves to be fat or want to be thinner than the current somatotype. And consultation and constant management are needed to help the high risk group (experience of weight control, BMI ${\geq}23kg/m^2$, not good health status).

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Using ranked auxiliary covariate as a more efficient sampling design for ANCOVA model: analysis of a psychological intervention to buttress resilience

  • Jabrah, Rajai;Samawi, Hani M.;Vogel, Robert;Rochani, Haresh D.;Linder, Daniel F.;Klibert, Jeff
    • Communications for Statistical Applications and Methods
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    • 제24권3호
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    • pp.241-254
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    • 2017
  • Drawing a sample can be costly or time consuming in some studies. However, it may be possible to rank the sampling units according to some baseline auxiliary covariates, which are easily obtainable, and/or cost efficient. Ranked set sampling (RSS) is a method to achieve this goal. In this paper, we propose a modified approach of the RSS method to allocate units into an experimental study that compares L groups. Computer simulation estimates the empirical nominal values and the empirical power values for the test procedure of comparing L different groups using modified RSS based on the regression approach in analysis of covariance (ANCOVA) models. A comparison to simple random sampling (SRS) is made to demonstrate efficiency. The results indicate that the required sample sizes for a given precision are smaller under RSS than under SRS. The modified RSS protocol was applied to an experimental study. The experimental study was designed to obtain a better understanding of the pathways by which positive experiences (i.e., goal completion) contribute to higher levels of happiness, well-being, and life satisfaction. The use of the RSS method resulted in a cost reduction associated with smaller sample size without losing the precision of the analysis.

융합적 가족 기능과 청소년 보호요인의 매개검증에 관한 연구 (A Study on Convergence Family Function and parameter validation fusion of youth protection factor)

  • 장춘옥
    • 한국융합학회논문지
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    • 제6권4호
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    • pp.121-126
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    • 2015
  • 한국청소년패널(2008)의 중2 패널 5차년도 자료를 가지고 기술통계 분석과 회귀분석을 실시하여 가족의 기능적 결손이라는 위험상황에서 위험요인, 보호요인, 심리적응 간의 관계와 보호요인의 매개효과의 기제를 검증하고, 심리적응 수준이 높은 청소년을 보호해주는 보호요인을 분석하는 데에 그 목적이 있다. 분석방법으로는 대상자의 빈도분석과 개인특성에 따른 차이를 알아보기 위해 PASW(Predictive Analytics Software) 18.0을 이용해 t검증을 실시하였다. 또한 적응에 대한 보호요인의 작용 검증을 위하여 위계적 회귀분석을 실시하여 매개효과를 검증하였다. 연구결과 사회복지실천 현장에서 청소년의 위험요인에 초점을 맞추기보다는 위험요인을 완화시키는 과정이나 보호요인에 초점을 맞춤으로써 위험요인에 노출된 청소년을 바라보는 시각을 전환시킬 수 있으며 이들에 대한 개입도 달라질 것으로 판단된다. 사회복지실천 현장에서 청소년의 위험요인에 초점을 맞추기보다는 위험요인을 완화시키는 과정이나 보호요인에 초점을 맞춤으로써 위험요인에 노출된 청소년을 바라보는 시각을 전환시킬 수 있다. 또한, 가족의 기능적 결손이라는 어려움을 경험하는 청소년을 대상으로 사회복지 실천적 개입 방향을 마련 할 수 있는 기초를 마련한 것으로 판단된다.

Clinical Prognostic Factors and Survival Outcome in Renal Cell Carcinoma Patients - A Malaysian Single Centre Perspective

  • Yap, Ning Yi;Ng, Keng Lim;Ong, Teng Aik;Pailoor, Jayalakshmi;Gobe, Glenda Carolyn;Ooi, Chong Chien;Razack, Azed Hassan;Dublin, Norman;Morais, Christudas;Rajandram, Retnagowri
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권12호
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    • pp.7497-7500
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    • 2013
  • Background: This study concerns clinical characteristics and survival of renal cell carcinoma (RCC) patients in University Malaya Medical Centre (UMMC), as well as the prognostic significance of presenting symptoms. Materials and Methods: The clinical characteristics, presenting symptoms and survival of RCC patients (n=151) treated at UMMC from 2003-2012 were analysed. Symptoms evaluated were macrohaematuria, flank pain, palpable abdominal mass, fever, lethargy, loss of weight, anaemia, elevated ALP, hypoalbuminemia and thrombocytosis. Univariate and multivariate Cox regression analyses were performed to determine the prognostic significance of these presenting symptoms. Kaplan Meier and log rank tests were employed for survival analysis. Results: The 2002 TNM staging was a prognostic factor (p<0.001) but Fuhrman grading was not significantly correlated with survival (p=0.088). At presentation, 76.8% of the patients were symptomatic. Generally, symptomatic tumours had a worse survival prognosis compared to asymptomatic cases (p=0.009; HR 4.74). All symptoms significantly affect disease specific survival except frank haematuria and loin pain on univariate Cox regression analysis. On multivariate analysis adjusted for stage, only clinically palpable abdominal mass remained statistically significant (p=0.027). The mean tumour size of palpable abdominal masses, $9.5{\pm}4.3cm$, was larger than non palpable masses, $5.3{\pm}2.7cm$ (p<0.001). Conclusions: This is the first report which includes survival information of RCC patients from Malaysia. Here the TNM stage and a palpable abdominal mass were independent predictors for survival. Further investigations using a multicentre cohort to analyse mortality and survival rates may aid in improving management of these patients.

머신러닝을 활용한 지역축제 방문객 수 예측모형 개발 (Development of a Model to Predict the Number of Visitors to Local Festivals Using Machine Learning)

  • 이인지;윤현식
    • 한국정보시스템학회지:정보시스템연구
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    • 제29권3호
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    • pp.35-52
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    • 2020
  • Purpose Local governments in each region actively hold local festivals for the purpose of promoting the region and revitalizing the local economy. Existing studies related to local festivals have been actively conducted in tourism and related academic fields. Empirical studies to understand the effects of latent variables on local festivals and studies to analyze the regional economic impacts of festivals occupy a large proportion. Despite of practical need, since few researches have been conducted to predict the number of visitors, one of the criteria for evaluating the performance of local festivals, this study developed a model for predicting the number of visitors through various observed variables using a machine learning algorithm and derived its implications. Design/methodology/approach For a total of 593 festivals held in 2018, 6 variables related to the region considering population size, administrative division, and accessibility, and 15 variables related to the festival such as the degree of publicity and word of mouth, invitation singer, weather and budget were set for the training data in machine learning algorithm. Since the number of visitors is a continuous numerical data, random forest, Adaboost, and linear regression that can perform regression analysis among the machine learning algorithms were used. Findings This study confirmed that a prediction of the number of visitors to local festivals is possible using a machine learning algorithm, and the possibility of using machine learning in research in the tourism and related academic fields, including the study of local festivals, was captured. From a practical point of view, the model developed in this study is used to predict the number of visitors to the festival to be held in the future, so that the festival can be evaluated in advance and the demand for related facilities, etc. can be utilized. In addition, the RReliefF rank result can be used. Considering this, it will be possible to improve the existing local festivals or refer to the planning of a new festival.

Risk indicators related to periimplant disease: an observational retrospective cohort study

  • Poli, Pier Paolo;Beretta, Mario;Grossi, Giovanni Battista;Maiorana, Carlo
    • Journal of Periodontal and Implant Science
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    • 제46권4호
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    • pp.266-276
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    • 2016
  • Purpose: The aim of the present study was to retrospectively investigate the influence of potential risk indicators on the development of peri-implant disease. Methods: Overall, 103 patients referred for implant treatment from 2000 to 2012 were randomly enrolled. The study sample consisted of 421 conventional-length (>6 mm) non-turned titanium implants that were evaluated clinically and radiographically according to preestablished clinical and patient-related parameters by a single investigator. A non-parametric Mann-Whitney U test or Kruskal-Wallis rank test and a logistic regression model were used for the statistical analysis of the recorded data at the implant level. Results: The diagnosis of peri-implant mucositis and peri-implantitis was made for 173 (41.1%) and 19 (4.5%) implants, respectively. Age (${\geq}65$ years), patient adherence (professional hygiene recalls <2/year) and the presence of plaque were associated with higher peri-implant probing-depth values and bleeding-on-probing scores. The logistic regression analysis indicated that age (P=0.001), patient adherence (P=0.03), the absence of keratinized tissue (P=0.03), implants placed in pristine bone (P=0.04), and the presence of peri-implant soft-tissue recession (P=0.000) were strongly associated with the event of peri-implantitis. Conclusions: Within the limitations of this study, patients aged ${\geq}65$ years and non-adherent subjects were more prone to develop peri-implant disease. Therefore, early diagnosis and a systematic maintenance-care program are essential for maintaining peri-implant tissue health, especially in older patients.

일부 요통환자들의 오스웨스터리요통장애지수 및 관련요인 (Oswestry Low Back Pain Disability Index and Related Factors in Patients with Low Back Pain)

  • 이승주
    • The Journal of Korean Physical Therapy
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    • 제20권4호
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    • pp.21-28
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    • 2008
  • Purpose: We measured the Oswestry Low Back Pain Disability Index (OLBPDI) and related factors in patients with low back pain. Methods: The sample consisted of 50 patients who received physical therapy at the physical therapy units of the Andong Seoul Sintong Clinic, St. Luke Clinic, and Yeongju Seoul Sintong Clinic in Andong and Yeongju city from October, 2007, to February, 2008. The OLBPDI questionnaire was administered by 5 physical therapists as a cross-sectional study. Student's t-test and analysis of variance (ANOVA/Tukey and Scheffe) were used to analyze OLBPDI score differences. We also used nonparametric statistic analysis (Wilcoxon rank sum test, Median test). Pearson correlation analysis (Spearman correlation analysis) was used to analyze the relationship between OLBPDI and the visual analogue scale (VAS). Multiple regression analysis was performed to determine the effects of independent variables on pain scores as defined by the OLBPDI. Results: The average patient age was 37.1 years (range: 18$\sim$78 years old), and time from onset was 21.7 months (1$\sim$180). OLBPD and VAS scores were 12.70 (3.0$\sim$28.0) and 5.14 (1$\sim$8), respectively. OLBPDI scores were 14.4 in patients taking medicine and 11.57 in those who did not. There was a statistically significant relationship between OLBPDI and VAS (r=0.54, p=0.0001; r=0.55, p=0.0001 by Spearman coefficient). Gender ($\beta$=6.14, p=0.0124), age ($\beta$=-2.01, p=0.0324), weight ($\beta$=0.31, p=0.0222), time from onset ($\beta$=1.54, p=0.0044), and VAS score ($\beta$=1.59, p=0.0004) were significantly associated with OLBPD by multiple regression analysis. Conclusion: Variables associated with OLBPD were gender, age, weight, time from onset, and VAS score. Collecting information on the pain index using OLBPDI was acceptable to patients with low back pain. Further research should explore the pain index by using larger sample sizes and longer follow-up periods.

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불법약물 사용자의 약물사용 및 재사용 관련특성 (Drug use and Reuse Relating Characteristics in Illegal Drug Users)

  • 이소영
    • 한국보건간호학회지
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    • 제16권2호
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    • pp.400-411
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    • 2002
  • This study was performed to identify the drug use and reuse relating characteristics and reuse relating factors in illegal drug users. Subjects consisted of 88 illegal drug users. Some of them were confined in a mental hospital or National Forensic Psychiatric Hospital located in Chung-nam province, others on attending a drug abuse prevention program in Seoul Probational Institute. Data were collected during the period from February 1, 2002 to February 25, 2002, and analyzed by SAS program. version 6.12. for Wilcoxon rank sum test, Pearson Correlation, Multiple regression. Results were as follows; 1. Drug use characteristics were as follows. $19.3\%$ was has drug family history and $20.7\%$ was has alcohol family history. Main drug was Phillopon$44.3\%$, inhalants $35.2\%$, LSD et al $22.7\%$. Drug use rate of months was everyday $31.2\%$, every other day $24.4\%$. 2. $100\%$ has experienced abstinence and reuse. Abstinence period was less than 12 months in $49.4\%$ and reuse period was less than 6 months in $58.6\%$. 3. Drug use and reuse characteristics related to general characteristics was identified as below. Abstinence period of male was longer than that of female. Person who have drug family history experienced more drugs and person who have family alcohol history started earlier. 4. Reuse periods was correlated with abstinence periods, age. And abstinence period was correlated with age and outcome that following reuse. 5. The multiple regression was used to identify the relating factors that influence reuse period and abstinence period. At the state of controlling abstinence period. inhalants users have 10.07 days shorter reuse period than others. And abstinence period had lengthened age, bad health status, early initiate age, and long reuse period.

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