• Title/Summary/Keyword: multiple hypothesis

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A comparison of multiple hypothesis testing methods and combination methods in seamless Phase II/III clinical trials (심리스 제2상/제3상 임상시험에서 다중가설검정방법과 결합검정방법의 비교연구)

  • Han, Song;Yoo, Hanna;Lee, Jae Won
    • The Korean Journal of Applied Statistics
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    • v.32 no.1
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    • pp.1-13
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    • 2019
  • An adaptive seamless Phase II/III clinical trial design enables a reduction in the sample size (in comparison to a conventional design) that also shortens the clinical development time. It is also very effective in clinical trials since it can have higher statistical power than Phase III alone. In this study, we use extensive simulation studies to compare several multiple hypothesis testing methods that can help select the best doses in a Phase II study along with several methods to combine p-values of the Phase II and Phase III study.

The effect of Multiple Positions in the Board on the Quality of Internal Accounting Control System (이사의 겸임이 내부회계관리제도의 품질에 미치는 영향)

  • Jung, Woo-Sung
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.365-373
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    • 2022
  • The purpose of this study is to determine the effect of concurrent appointment as a director on the quality of the internal accounting management system (IACS). For analysis, 9,343 KOSPI & KOSDAQ company-year data from 2014-2019, excluding the financial industry, were used. As a result of the analysis, it was confirmed that the quality of IACS decreased as the number of multiple positions in the director increased. Although there is a difference in the roles of inside and outside directors, it was found that the quality of IACS decreases equally as the number of board members. According to the business hypothesis, this can be said to be the result of the agency problem within the company because directors, who were more busy with concurrent positions as directors, did not put sufficient effort into their work. This study suggests that information on the concurrent position of directors can be a new indicator that reflects the characteristics of the board in evaluating the effectiveness of corporate governance.

Function of Social Support on Depression of Patients with Rheumatoid Arthritis (류마티스 관절염환자의 우울에 대한 사회적 지지기능)

  • Choi, Soon-Hee
    • Journal of muscle and joint health
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    • v.3 no.1
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    • pp.63-89
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    • 1996
  • This study has been done for the purpose of determining whether the positive association between social support and depression is attributable to an overall beneficial effect of support(direct effect) or to a process of support protecting persons from adverse effects of stressors such as life events, pain or physical disability (buffering effect). The sample consisted of 214 patients who were identified as the rheumatoid arthritis. The instruments used in this study were Depression Scale(CES-D), Perceived Social Support Scale, Life Events Questionnaire, AIMS Pain Scale, and Physical Disability Scale. The data were analysed by the use of t-test, ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression. The results of this study are summerized as follows : 1. The 1st hypothesis, "The higher the life events degree, the higher the depression degree" was supported(r=.49, P=.0001). 2. The 2nd hypothesis, "The higher the pain degree, the higher the depression degree" was supported(r=.44, P=.0001). 3. The 3rd hypothesis, "The higher the physical disability degree, the higher the depression degree" was supported (r=.46, P=.0001). 4. The 4th hypothesis, "The higher the social support degree, the lower the depression degree" was supported(F=84.52, P=.0001). 5. The 5th hypothesis, "There will be different in the relationship between the degrees of life events and depression according to social support degree" was rejected (F=.29, P=.5928). 6. The 6th hypothesis, "There will be different in the relationship between the degrees of pain and depression according to social support degree" was supported (F=3.19, P=.0755). 7. The 7th hypothesis, "There will be different in the relationship between the degrees of physical disability and depression according to social support degree" was supported(F=5.69, P=.018). 8. The predictive variables for depression were the degrees for social support, life events, pain, and physical disability. 9. The depression degree showed a inverse correlation with social support degree (r=-.56, p=.0001). The social support degree showed a inverse correlation with the degrees of life events(r=-.22, p=.0007), pain(r=-.18, p=.0069) and physical disability(r=-.15, p=.0293). 10. The depression degree showed significant differences in the variables of sex (t=2.26, p=.025), educational level(r=.189, P=.006) and the number of treatment method (r=.201, P=.003). In conclusion, it was found that social support had the direct effect on depression and the buffering effect in each relationship between degrees of pain or physical disability and depression in patients with rheumatoid arthritis. So the researcher thinks that it is effective that nurses should provide these patients with social support to reduce depression in cases of having severe pain or physical disability.

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Detection of Multiple Potato Viruses in the Field Suggests Synergistic Interactions among Potato Viruses in Pakistan

  • Hameed, Amir;Iqbal, Zafar;Asad, Shaheen;Mansoor, Shahid
    • The Plant Pathology Journal
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    • v.30 no.4
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    • pp.407-415
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    • 2014
  • Viral diseases have been a major limiting factor threating sustainable potato (Solanum tuberosum L.) production in Pakistan. Surveys were conducted to serologically quantify the incidence of RNA viruses infecting potato; Potato virus X (PVX), Potato virus Y (PVY), Potato virus S (PVS), Potato virus A (PVA), Potato virus M (PVM) and Potato leaf roll virus (PLRV) in two major potato cultivars (Desiree and Cardinal). The results suggest the prevalence of multiple viruses in all surveyed areas with PVY, PVS and PVX dominantly widespread with infection levels of up to 50% in some regions. Co-infections were detected with the highest incidence (15.5%) for PVX and PVS. Additionally the data showed a positive correlation between co-infecting viruses with significant increase in absorbance value (virus titre) for at least one of the virus in an infected plant and suggested a synergistic interaction. To test this hypothesis, glasshouse grown potato plants were challenged with multiple viruses and analyzed for systemic infections and symptomology studies. The results obtained conclude that multiple viral infections dramatically increase disease epidemics as compared to single infection and an effective resistance strategy in targeting multiple RNA viruses is required to save potato crop.

The effect of the computer subject achievement by means of Multi-Intelligence Hypothesis in the alternative school. (다중지능을 활용한 개별화 수업이 대안학교 컴퓨터수업에 미치는 영향)

  • Kwon, Yong-hwan;Kim, Eui-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.233-236
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    • 2014
  • The purpose of this study is for the students who are naturally diverse in personality and behavior in the alternative school to examine the effect of the computer subject achievement and how to increase the student's interest in learning by means of the implementation of Howard Gardener, the Multiple-Intelligence Hypothesis. To verify this study, two groups of sophomore students from an Alternative High School located in Hwasung : The Experimental group consisted of 20 students who would participate in the Computer Science program by learning or applying new skills, based on the Multiple Intelligence Hypothesis. The Comparison Group consisted of 19 students who would follow the standardized Computer Science teaching and lesson plan. During five weeks, the multiple-Intelligence effect was executed in the search groups comparing the differences of the pre-test and pro-test. Pro-test showed following results: Firstly, the experiment search group showed a higher significant improvement in the subject achievement, compared to the comparison group. Secondly, the experiment search group showed a much higher increase in the interest of learning, compared to the comparison group. Thirdly, the experiment search group did not show any differences of the social development compared to the comparison group.

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An Improved Dempster-Shafer Algorithm Using a Partial Conflict Measurement

  • Odgerel, Bayanmunkh;Lee, Chang-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.308-317
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    • 2016
  • Multiple evidences based decision making is an important functionality for computers and robots. To combine multiple evidences, mathematical theory of evidence has been developed, and it involves the most vital part called Dempster's rule of combination. The rule is used for combining multiple evidences. However, the combined result gives a counterintuitive conclusion when highly conflicting evidences exist. In particular, when we obtain two different sources of evidence for a single hypothesis, only one of the sources may contain evidence. In this paper, we introduce a modified combination rule based on the partial conflict measurement by using an absolute difference between two evidences' basic probability numbers. The basic probability number is described in details in Section 2 "Mathematical Theory of Evidence". As a result, the proposed combination rule outperforms Dempster's rule of combination. More precisely, the modified combination rule provides a reasonable conclusion when combining highly conflicting evidences and shows similar results with Dempster's rule of combination in the case of the both sources of evidence are not conflicting. In addition, when obtained evidences contain multiple hypotheses, our proposed combination rule shows more logically acceptable results in compared with the results of Dempster's rule.

Competition between Online Stock Message Boards in Predictive Power: Focused on Multiple Online Stock Message Boards

  • Kim, Hyun Mo;Park, Jae Hong
    • Asia pacific journal of information systems
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    • v.26 no.4
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    • pp.526-541
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    • 2016
  • This research aims to examine the predictive power of multiple online stock message boards, namely, NAVER Finance and PAXNET, which are the most popular stock message boards in South Korea, in stock market activities. If predictive power exists, we then compare the predictive power of multiple online stock message boards. To accomplish the research purpose, we constructed a panel data set with close price, volatility, Spell out acronyms at first mention.PER, and number of posts in 40 companies in three months, and conducted a panel vector auto-regression analysis. The analysis results showed that the number of posts could predict stock market activities. In NAVER Finance, previous number of posts positively influenced volatility on the day. In PAXNET, previous number of posts positively influenced close price, volatility, and PER on the day. Second, we confirmed a difference in the prediction power for stock market activities between multiple online stock message boards. This research is limited by the fact that it only considered 40 companies and three stock market activities. Nevertheless, we found correlation between online stock message board and stock market activities and provided practical implications. We suggest that investors need to focus on specific online message boards to find interesting stock market activities.

Reproducibility of Hypothesis Testing and Confidence Interval (가설검정과 신뢰구간의 재현성)

  • Huh, Myung-Hoe
    • The Korean Journal of Applied Statistics
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    • v.27 no.4
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    • pp.645-653
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    • 2014
  • P-value is the probability of observing a current sample and possibly other samples departing equally or more extremely from the null hypothesis toward postulated alternative hypothesis. When p-value is less than a certain level called ${\alpha}$(= 0:05), researchers claim that the alternative hypothesis is supported empirically. Unfortunately, some findings discovered in that way are not reproducible, partly because the p-value itself is a statistic vulnerable to random variation. Boos and Stefanski (2011) suggests calculating the upper limit of p-value in hypothesis testing, using a bootstrap predictive distribution. To determine the sample size of a replication study, this study proposes thought experiments by simulating boosted bootstrap samples of different sizes from given observations. The method is illustrated for the cases of two-group comparison and multiple linear regression. This study also addresses the reproducibility of the points in the given 95% confidence interval. Numerical examples show that the center point is covered by 95% confidence intervals generated from bootstrap resamples. However, end points are covered with a 50% chance. Hence this study draws the graph of the reproducibility rate for each parameter in the confidence interval.

The Role of Deductive Reasoning in Scientific Activities (과학활동에서 연역적 사고의 역할)

  • Park, Jong-Won
    • Journal of The Korean Association For Science Education
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    • v.18 no.1
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    • pp.1-17
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    • 1998
  • What does mean the statement that scientific reasoning is logical? In this study, we clarify the logical structure of the scientific explanation, prediction and the process of hypothesis testing. To simplify and identify the structure of scientific explanations and prediction more clearly, we used syllogism and presented various concrete examples. Especially, we showed that the logical structure of scientific explanation was well reflected in dynamics. Based on this analysis, it can be said that the deficit of students' understanding of dynamics is because that many scientific activities are focused on prediction rather than explanation. To explain the process of hypothesis testing, we reinterpreted the Wason's selection task as two stages: the process of prediction of experimental phenomena based on the presented hypothesis, and the process of the hypothesis testing based on the predicted experimental phenomena. And we suggested the reason of the logical fallacy of 'affirming the consequent' in science was because that many scientific relationships between the variables is one-to-one relationship, and compared this suggestion with the Lawon's multiple hypothesis theory. To check out the effect of content on the deductive reasoning, we reviewed some researches about psychology and psychology of science. And to understand the role of deductive reasoning in student's scientific activities, we reviewed researches about the analysis of students' responses in the task of conceptual change or evaluation of evidence and so on.

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Incidental Multiple Pulmonary Nodules: Benign Metastasizing Leiomyoma and $^{18}F-FDG$ PET/CT (우연히 발견된 다발성 폐결절: 양성 전이성 근종과 $^{18}F-FDG$ PET/CT)

  • Lee, Seok-Mo
    • Nuclear Medicine and Molecular Imaging
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    • v.41 no.3
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    • pp.258-259
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    • 2007
  • Benign metastasizing leiomyoma(BML) is a rare condition affecting women with a history of having undergone hysterectomy or myomectomy for a benign uterine fibroid, that is found to have metastasized to extrauterine sites, usually many years after hysterectomy. 1,2) Patient with BML almost always asymptomatic, although if the lesions are large enough, they can cause compressive symptoms. Among several hypothesis of pathogenesis, most plausible theory is that these tumors represent a true metastatic lesion but are very low-grade sarcoma. 3) Because the tumor is responsive to estrogen, menopause and pregnancy have slowed the growth of these lesion 4) and it seems reasonable to perform hysterectomy in patients with a uterine mass and, at the same time, perform oophorectomy for hormonal control. BML is an unusual cause of diffuse pulmonary nodules which should be considered in females with unexplained nodules and a history of surgery for uterine leiomyoma.