• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3763-3767
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• 2016

Background: Cervical cancer is the second most common cancer among females across the world. It is a preventable cancer and early detection is very feasible. This study aimed to identify which women characteristics are potentially associated with and may have an important in uence on the uptake of cervical cancer screening in Kurdish women living in the west of Iran.. Materials and Methods: A cross sectional study was conducted in late 2014. A random sample of women aged 40 years and above without history of cervical cancer and identi ed as Kurdish background were selected and interviewed by two trained interviewers. Information about sociodemographic and reproductive factors, history of diseases, and cervical screening was collected using a questionnaire and women who had undergone a hysterectomy were excluded. Univariate analyses were used to describe the general characteristics of the study population. Multivariable logistic regression models with self-reported screening history were used to estimate odds ratios (ORs) with 95% con dence intervals (CI). Signi cance was considered at the 5% level. Results: A total of 561 women were included in this study (mean age $43.6{\pm}5.17$ years) participation in cervical screening at least once was about 32%. Cervical screening uptake percentage was signi cantly lower among people over 60 years of age (adjusted OR= 0.26, 95% CI: 0.11-0.64), and those who were illiterate (OR= 0.41 95% CI: 0.23-0.73) and post-menopausal (OR= 0.56, 95% CI: 0.35-0.91). Women with ${\leq}1$ child were less likely to report a Pap test (adjusted OR=0.43 95%CI: 0.13-1.37) Cervical screening uptake was higher among women with health insurance (OR= 2.31, 95% CI: 1.50-3.56). Conclusions: Cervical screening participation in this study was low compared to other studies in developed countries. The screening uptake was different based on age, education, parity, insurance coverage and menopausal status. It is recommended to target these groups of women in cervical screening program.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.797-810
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• 2017

The Korean peninsula is exposed to typhoons every year. Typhoons cause huge socioeconomic damage because tropical cyclones tend to occur with strong winds and heavy precipitation. In order to understand the complex dependence structure between strong winds and heavy precipitation, the copula links a set of univariate distributions to a multivariate distribution and has been actively studied in the field of hydrology. In this study, we carried out analysis using data of wind speed and precipitation collected from the weather stations in Busan and Jeju. Log-Normal, Gamma, and Weibull distributions were considered to explain marginal distributions of the copula. Kolmogorov-Smirnov, Cramer-von-Mises, and Anderson-Darling test statistics were employed for testing the goodness-of-fit of marginal distribution. Observed pseudo data were calculated through inverse transformation method for establishing the copula. Elliptical, archimedean, and extreme copula were considered to explain the dependence structure between strong winds and heavy precipitation. In selecting the best copula, we employed the Cramer-von-Mises test and cross-validation. In Busan, precipitation according to average wind speed followed t copula and precipitation just as maximum wind speed adopted Clayton copula. In Jeju, precipitation according to maximum wind speed complied Normal copula and average wind speed as stated in precipitation followed Frank copula and maximum wind speed according to precipitation observed Husler-Reiss copula.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.309-324
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• 2015

In this paper we introduce how to analyze survival data via a SRC-Stat statistical package. This provides classical survival analysis (e.g. Cox's proportional hazards models for univariate survival data) as well as advanced survival analysis such as shared and nested frailty models for multivariate survival data. We illustrate the use of our package with practical data sets.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.921-932
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• 2015

This study analyzed military personnel survivability in regards to offensive operations according to the scientific military training data of a reinforced infantry battalion. Scientific battle training was conducted at the Korea Combat Training Center (KCTC) training facility and utilized scientific military training equipment that included MILES and the main exercise control system. The training audience freely engaged an OPFOR who is an expert at tactics and weapon systems. It provides a statistical analysis of data in regards to state-of-the-art military training because the scientific battle training system saves and utilizes all training zone data for analysis and after action review as well as offers training control during the training period. The methodologies used the Cox PH modeling (which does not require parametric distribution assumptions) and decision tree modeling for survival data such as CART, GUIDE, and CTREE for richer and easier interpretation. The variables that violate the PH assumption were stratified and analyzed. Since the Cox PH model result was not easy to interpret the period of service, additional interpretation was attempted through univariate local regression. CART, GUIDE, and CTREE formed different tree models which allow for various interpretations.

• Journal of the Korea Society for Simulation
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• v.16 no.4
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• pp.13-22
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• 2007

Fault detection of cycle-based signals is typically performed using statistical approaches. Univariate SPC using few representative statistics and multivariate analysis methods such as PCA and PLS are the most popular methods for analyzing cycle-based signals. However, such approaches are limited when dealing with information-rich cycle-based signals. In this paper, process fault defection method based on wavelet analysis is proposed. Using Haar wavelet, coefficients that well reflect the process condition are selected. Next, Hotelling's $T^2$ chart using selected coefficients is constructed for assessment of process condition. To enhance the overall efficiency of fault detection, the following two steps are suggested, i.e. denoising method based on wavelet transform and coefficient selection methods using variance difference. For performance evaluation, various types of abnormal process conditions are simulated and the proposed algorithm is compared with other methodologies.

• The Korean Journal of Applied Statistics
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• v.10 no.2
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• pp.293-308
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• 1997

Sliced inverse regression is a method for reducing the dimension of the explanatory variable X without going through any parametric or nonparametric model fitting process. This method explores the simplicity of the inverse view of regression; that is, instead of regressing the univariate output varable y against the multivariate X, we regress X against y. In this article, we propose bivariate sliced inverse regression, whose method regress the multivariate X against the bivariate output variables $y_1, Y_2$. Bivariate sliced inverse regression estimates the e.d.r. directions of satisfying two generalized regression model simultaneously. For the application of bivariate sliced inverse regression, we decompose the output variable y into two variables, one variable y gained by projecting the output variable y onto the column space of X and the other variable r through projecting the output variable y onto the space orthogonal to the column space of X, respectively and then estimate the e.d.r. directions of the generalized regression model by utilize two variables simultaneously. As a result, bivariate sliced inverse regression of considering the variable y and r simultaneously estimates the e.d.r. directions efficiently and steadily when the regression model is linear, quadratic and nonlinear, respectively.

• Journal of Korean Academy of Nursing
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• v.44 no.4
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• pp.391-397
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• 2014

Purpose: This study was done to examine the association between body mass index (BMI) and any type of clinical dementia. Methods: Participants were 60,321 people over 60 years of age enrolled in the Seoul Dementia Management Project in 2011. K-MMSE was used to classify participants as having a cognitive impairment and the Clinical Dementia Rating or DSM-IV by psychiatrists or neurologists to determine whether participants were in the dementia group or the non-dementia group. Descriptive statistics, chi-square test, and binary logistic regression analysis were performed. Results: In the univariate analysis, age, education level, living with spouse, BMI, alcohol consumption, and exercise were significantly associated with dementia. In multivariable analysis, increasing age was positively associated with dementia, and educational level was negatively associated with dementia. The exercise group had a lower prevalence of dementia than the non-exercise group. The odds ratio of dementia in the over-weight and obese groups compared to the normal group was 0.85 (95% CI 0.60, 0.98) and 0.64 (95%CI 0.46, 0.75), respectively. Conclusion: Results indicate that dementia is negatively associated with increasing BMI in people aged 60 years or older, but a prospective cohort study is needed to elucidate the causal effect relationship between BMI and dementia.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.12
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• pp.4939-4944
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• 2014

The purpose of this study was through a survey of awareness of cancer and cancer screening of Korean community residents to identify the stereotypes of cancer and bases for development of improved screening programs for early detection. Subjects were residing in South Korea Gangwon-Province and were over 30 years and under 69 years old. The total was 2,700 persons which underwent structured telephone survey questionnaires considered with specific rates of gender, region, and age. For statistical analysis, PASW Statistics 17.0 WIN was utilized. Frequency analysis, the Chi-square (${\chi}^2$) test for univariate analysis, and logistic regression analysis were performed. The awareness of cancer and cancer screening in subjects differed by gender, region and age. For the idea of cancer, women thought about death less than men (OR: 0.73, p<0.001). On the other hand, women had negative thoughts - fear/terror/suffering/pain/pain - more than their male counterparts (OR: 2.04, p<0.001). Next, for the idea of cancer screening, women recognized fear/terror more than men (OR: 1.38, p<0.01). The higher age, the more tension/anxiety/worry/burden/irritated/pressure (OR: 1.43, p<0.01, OR: 2.15, p<0.001, OR: 2.49, p<0.001)). People may be reminded of fear and death for cancer and of fear, terror, tension and anxiety for cancer screening. To change vague fear and negative attitudes of cancer could increase the rate of cancer screening as well as help to improve the quality of life for community cancer survivors and facilitate return to normal social life. Therefore, it is necessary to provide promotion and education to improve the awareness of cancer and cancer screening.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.845-852
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• 2015

Cancer illness representations and screening history among residents of Kolkata, India, were investigated along with socio-demographic characteristics in an effort to understand possible motivations for health behavior. A total of 106 participants were recruited from community locations in Kolkata, India and completed surveys including demographics, the illness perception questionnaire-revised (IPQ-R), and previous experience with cancer and screening practices. Participants were 51.5% college educated, 57% female, 51.5% full-time employed with average age of 32.7 years (R: 18-60 years). Descriptive statistics were generated for the subscales of the IPQ-R, cancer-screening practices and cancer experience. Correlation analyses were conducted to investigate associations between cancer representations and socio-demographic variables. Univariate ANOVAs were calculated to determine gender differences in IPQ-R subscales and differences between participants who knew someone diagnosed with cancer versus those who did not. While 76% of participants knew someone with cancer, only 5% of the sample engaged in cancer screening. Participants perceived cancer as a serious illness with negative emotional valence. Younger age (r(100)=-.36, p<0.001) and male gender (F(1, 98)=5.22, p=0.01, ${\eta}_2$=0.05) were associated with better illness coherence. Males also reported greater personal control (F(1, 98)=5.34, p=0.02, ${\eta}_2$=0.05) were associated with better illness coherence. Low screening rates precluded analyses of the relationship between illness representations and cancer screening. Cancer was viewed as a threatening and uncontrollable disease among this sample of educated, middle class Kolkata residents. This view may act as a barrier to seeking cancer screening. Public awareness campaigns aimed at improving understanding of the causes, symptoms and consequences of cancer might reduce misunderstandings and fear, especially among women and older populations, who report less comprehension of cancer.

• Journal of Korean Biological Nursing Science
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• v.15 no.4
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• pp.237-246
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• 2013

Purpose: A few Korean studies have reported that low urine acidity and hyperuricemia are related to metabolic syndrome. Therefore, we evaluated the relationships between urine pH, serum Uric Acid (UA), and metabolic risk factors in university students. Methods: Data were obtained from student health examinations in one university. Participants were 3,412 male and 4,214 female students. Descriptive statistics, t-test, logistic regressions and multiple logistic regression using SPSS version 18.0 were performed. Results: No significant relationship was found between metabolic risk factors and urine pH. From the univariate analysis, serum UA was significantly higher in obese ($BMI{\geq}25$), elevated blood pressure ($SBP{\geq}130$ and $DBP{\geq}85$), and higher triglyceride (${\geq}150$) groups for males and in obese, higher triglyceride and fasting blood sugar (${\geq}100$), and lower HDL-cholesterol (<50) groups for females. From the results of multivariate analysis, age, BMI, and triglyceride were significantly related to serum UA in males, BMI and HDL-cholesterol were significantly related to serum UA in females. Conclusion: Although there was no significant relationship between urinary pH and metabolic risk factors, significant associations between some of the metabolic risk factors and serum UA were found in the young adult population. Further studies are required to know the exact pathway between serum UA and metabolic syndrome.