• Title/Summary/Keyword: rank regression

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

  • ;;;;;;;;Salces, A.J.
    • Journal of Animal Science and Technology
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    • v.48 no.2
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    • pp.143-150
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    • 2006
  • The data were collected in the dairy herd improvement program from January 2000 to July 2005. Test data included 825,157 records of first parity and animals with both parents known were included. This study aimed to describe the effect of incomplete lactation records of latest generation to the change in sire's breeding value using Random Regression model (RRM) in genetic evaluation. Estimation of genetic parameter and breeding value for sire used REMLF90 and BLUPF90 program. The phenotypic value on the number of test day records between group TD11, TD8, TD5, TD2 showed no large differences. For all the group heritability of test day milk yield range from 0.30 to 0.36. However TD2 group showed low heritability the least test day recode on the latest generation. The correlation of above 50% between test day and TD11(0.610), TD8(0.616), TD5(0.661) and TD2(0.682) with different records in latest generation. Sire's rank of breeding value varied widely depending on the records on the number of lactation from start to the latest generation. Study showed that change in breeding value ranked if daughter's test recode more so it should have at least 5 test day records. The use of RRM in dairy cattle genetic evaluation would be desirable if complete lactation records for latest generation daughters of young bulls when selection for proven bulls. Random Regression model (RRM) require at least 5 test-day lactation recode.

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

  • Park, Jae-Chul
    • Journal of the Korean Institute of Landscape Architecture
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    • v.37 no.4
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    • pp.12-21
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    • 2009
  • The purpose of this study is to identify the characteristics of amenities available in Sunchang-gun, Jeonbuk province in Korea through ananalysis of survey data of rural amenity resources. This survey was performed over 4 years(from 2005 to 2008). The data were collected by field survey, interview, and Internet search. Descriptive statistics, regression and correlation analyses were performed to identify the characteristics of each Eup-Myun in Sunchang County. A regression analysis was also performed to compare provincial, national and other county data. Furthermore, a rank analysis was performed to classify the type of each region. Through this, the type of rural amenity resources was identified.

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

  • Kwon, Young-Sook
    • Research in Community and Public Health Nursing
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    • v.19 no.3
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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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    • v.24 no.3
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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.

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

  • Jang, Chun-Ok
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.121-126
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    • 2015
  • Korea Youth Panel (2008) has 2 panels of the 5th year of Knowledge data to perform statistical analysis and regression analysis, the risk factors in the risk conditions of the family of functional deficits, protective factors, the relationship between the mediating effect of psychological adaptation and protective factors verification mechanisms and the psychological adaptation level it is an objective to analyze the protective factors that protect the high youth. To investigate the differences by frequency analysis and personal characteristics of the analyte's was performed t test using PASW (Predictive Analytics Software) 18.0. And to verify the effect of the parameters is performed rank regression analysis for verification of the effects of protection factors for adaptation. Rather than focusing on youth risk factors in social welfare practice field, focusing on processes and protective factors to reduce the risk factors, it is possible to convert the viewpoint overlooking the youth exposed to risk factors. Also, for young people experiencing difficulties that features loss of the family, it is determined that the prepared foundation which can be provided in the direction of social welfare practical intervention.

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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    • v.14 no.12
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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.

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

  • Lee, In-Ji;Yoon, Hyun Shik
    • The Journal of Information Systems
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    • v.29 no.3
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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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    • v.46 no.4
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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.

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

  • Yi, Seung-Ju
    • The Journal of Korean Physical Therapy
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    • v.20 no.4
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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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Drug use and Reuse Relating Characteristics in Illegal Drug Users (불법약물 사용자의 약물사용 및 재사용 관련특성)

  • Lee So Young
    • Journal of Korean Public Health Nursing
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    • v.16 no.2
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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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