• The Korean Journal of Applied Statistics
• /
• v.21 no.2
• /
• pp.341-353
• /
• 2008

The bootstrap method for the score test statistic is proposed in a bivariate negative binomial distribution. The Monte Carlo study shows that the score test for testing overdispersion underestimates the nominal significance level, while the score test for "intrinsic correlation" overestimates the nominal one. To overcome this problem, we propose a bootstrap method for the score test. We find that bootstrap methods keep the significance level close to the nominal significance level for testing the hypothesis. An empirical example is provided to illustrate the results.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.7
• /
• pp.3455-3460
• /
• 2012

Objectives: To report the prevalence of atypical squamous cells of undetermined significance and atypical squamous cells-cannot exclude high squamous intraepithelial lesions and to determine the possible association of Pap test results with high-risk human papillomavirus and high squamous intraepithelial lesions in women from Duhok, Iraq. Design: A prospective, observational study was conducted between January 2005 and December 2011. Overall, 596 women with a cervicovaginal Pap test showing atypical squamous cells of undetermined significance and 93 atypical squamous cells-cannot exclude high squamous intraepithelial lesion for whom pathologic follow-up was available were studied. Follow-up consisted of repeat cytology, colposcopy and histology. High risk human papillomavirus DNA testing was performed on exfoliated cervical cells from 106 women, using conventional PCR after at least 36 months from the initial Pap smear. Results: Significantly high proportions of both atypical squamous cells of undetermined significance (87.9%) and atypical squamous cells-cannot exclude high squamous intraepithelial lesion (62.4%) demonstrated no significant lesion on subsequent follow up. Low squamous intraepithelial lesions were observed in 1.7% of cases of atypical squamous cells of undetermined significance and in 5.4% of atypical squamous cells-cannot exclude high squamous intraepithelial lesion. High squamous intraepithelial lesion was demonstrated in 0.8% and 16.1% respectively. In the latter there was also one case of invasive carcinoma. High-risk HPV DNA was demonstrated in 40% of atypical squamous cells of undetermined significance and 57.1% of atypical squamous cells-cannot exclude high squamous intraepithelial lesions. Conclusions: Since both atypical squamous cells of undetermined significance and atypical squamous cells-cannot exclude high squamous intraepithelial lesion identify patients who are at an increased risk for the development of high squamous intraepithelial lesions and a considerable percentage harbor high risk-HPV, both should be retained as diagnostic categories and patients warrant a diligent follow up and testing for high risk-HPV DNA. Colposcopic evaluation and biopsy, when indicated, are a must.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.7
• /
• pp.837-844
• /
• 2002

In general, software test is carried out to detect or repair errors in system during software development process. Namely, we can evaluate software reliability through collecting and removing the faults detected in testing phase. Software reliability growth model evaluates reliability of software mathematically. Many kinds of software reliability growth modeling which modeling the processes of detecting, revising and removing the faults detected in testing phase have been proposed in many ways. and, it is assumed that almost of these modeling have one typed detect and show the uniformed detection rate. In this study, significance levels of the faults detected in test phase are classified according to how they can affect on the whole system and then the fault detection capability of them is applied. From this point of view, We here by propose a software reliability growth model with faults detection capability according considering fault significance levels and apply some fault data to this proposed model and finally verify its validity by comparing and estimating with the existing modeling.

• Journal of Genetic Medicine
• /
• v.15 no.1
• /
• pp.1-7
• /
• 2018

Sonographic findings with little or no pathological significance, known as soft markers, are often found in aneuploidy fetuses. After normal screening for the aneuploidy in first trimester, there are no uniform recommendations regarding when to disregard or put on clinical significance in isolated soft markers. Associations between some soft markers and adverse pregnancy outcomes including intrauterine fetal death, preterm birth, fetal growth restriction, and congenital infection have been reported in euploidy fetuses. The present article aims to review recent literatures about the clinical significance of soft markers after normal first trimester combined screening or noninvasive prenatal testing, and propose a simple clinical summary for management of specific soft markers in pregnancies.

• Communications for Statistical Applications and Methods
• /
• v.9 no.3
• /
• pp.725-732
• /
• 2002

P-values are often perceived as measurements of degree of compatibility between the current data and the hypothesized model. In this paper, a new concept of Bayesian p-values is proposed and studied under the non-informative prior distributions, which can be thought as the Bayesian counterparts of the classical p-values in the sense of using the concept of significance level. The performances of the proposed Bayesian p-values are compared with those of the classical p-values through several examples.

• Communications for Statistical Applications and Methods
• /
• v.14 no.2
• /
• pp.443-457
• /
• 2007

This paper deals with the problem of testing the existence of change in mean and estimating the change-point using nonparametric bootstrap technique. A test statistic using Gombay and Horvath (1990)'s functional form is applied to derive a test statistic and nonparametric change-point estimator with bootstrapping idea. Achieved significance level of the test is calculated for the proposed test to show the evidence against the null hypothesis. MSE and percentiles of the bootstrap change-point estimators are given to show the distribution of the proposed estimator in simulation.

• Journal of the Korean Statistical Society
• /
• v.25 no.3
• /
• pp.419-432
• /
• 1996

When interactions are not present in a three-way layout, the lim-iting null distribution of the F statistic for testing main effects when applied to the rank-score transformed data is the same as the limiting null distribution of the usual F statistic when applied to the normal data. The simulation results exhibit that the rank transform test is robust with respect to significance level and powerful for testing main effects in a three-way factorial experiment.

• Journal of Acupuncture Research
• /
• v.26 no.5
• /
• pp.11-17
• /
• 2009

Objectives : The objectives of this study were to examine the specificity and the sensitivity of tenderness testing on the ear about the postpartum breast pain, and to improve the efficacy of the tenderness test. Methods : Thirty women who visited in the hospital for recuperating 2-14 days after childbirth participated in this study. They answered the questionnaire of the severity of breast pain and their auricular acupuncture points were tested by a long metal probe with round tip 1.1mm in diameter. We analyzed the relationship between auricular tenderness testing on mammary gland zone[CW6] and postpartum breast pain with validity and significance as grouping 8 diagnosis methods. Results : When we consider above 'moderate pain' or 'severe pain' in the auricular tenderness testing as a positive sign, and above 'evere pain' or 'very severe pain' in the self-reported breast pain score as a positive symptom, the diagnostic efficacy was highest. The sensitivity for tenderness testing was 0.62-0.75, and the specificity was 0.64-0.72, and the sensitivity and the specificity in the contralateral ear were a little higher than in the ipsilateral ear. Conclusions : These results suggest that auricular tenderness testing can be objectified clinically and be used in diagnosis.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2007.04a
• /
• pp.225-229
• /
• 2007

We propose some properties of fuzzy p-value and fuzzy significance level to the fuzzy hypotheses testing for vague response data with reflected correlation in survey research, Appling the principle of agreement index, we suggest the methods for fuzzy hypothesis testing by fuzzy rejection region.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.5
• /
• pp.614-618
• /
• 2007

We propose some properties of fuzzy p-value and fuzzy significance level to the fuzzy hypotheses testing for vague response data with reflected correlation in survey research, Appling the principle of agreement index, we suggest the methods for fuzzy hypothesis testing by fuzzy rejection region.