Credibility Theory Oriented Sign Test for Imprecise Observations and Imprecise Hypotheses

2013 ◽  
pp. 153-163
Author(s):  
Gholamreza Hesamian ◽  
Seyed Mahmood Taheri
Keyword(s):  
Credibility Theory ◽  
Sign Test ◽  
Imprecise Observations

Pengaruh Self Help Group Terhadap Kemampuan Keluarga Dalam Merawat Klien Skizofrenia Di Poli Jiwa Puskesmas Kalitidu

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Yusuf Efendi ◽  
Errix Kristian Julianto
Keyword(s):  
Mental Disorders ◽  
Group Intervention ◽  
Family Members ◽  
Wilcoxon Test ◽  
Sign Test ◽  
Significance Level ◽  
Self Help ◽  
Before And After ◽  
Self Help Groups ◽  
Self Help Group

ABSTRAKDiera perkembangan jaman saat ini, beberapa keluarga dihadapkan dengan permasalahna tentang adanya angggota keluarga yeng mengaami gangguan jiwa, tak jarang keluarga tidak mengetahui bagaimana merawat angota keluarga dengan gangguan jiwa. Self help group pada keluarga dengan gangguan jiwa perlu dilakukan untuk membantu keluarga mengatasi permasalahannya yang diselesaikan bersama dalam kelompok. Manfaat yang didapatkan pada terapi ini adalah terdapatnya peningkatan pengetahuan keluarga tentang Skizofrenia. Peningkatan pengetahuan ini akan berdampak terhadap kemampuan keluarga dalam merawat klien Skizofrenia..Desain penelitian ini menggunakan desain pre eksperimental dengan rancangan one group pre-posttest design. Sampel pada penelitian ini adalah keluarga penderita Skizofrenia di PKU Jiwa Kalitidu yang berjumlah 32. . Data dikumpulkan menggunakan kuesioner kemudian dianalisis dengan menggunakan uji Wolcoxon sign dengan tingkat kemaknaan 0,05. Hasil penelitian menunjukkan bahwa kondisi responden sebelum dan sesudah dilakukan intervensi dengan self help group pada kemampuan merawat dengan  nilai uji wilcoxon sebesar 0,001 yang berarti ada pengaruh dari intervensi self help group dengan merawat keluarga dengan gangguan jiwa. Kata Kunci       : Self Help Group, Kemampuan Merawat, Skizofrenia   ABSTRACT. In the current era of development, some families are faced with problems about family members who suffer from mental disorders, often families do not know how to care for family members with mental disorders. Self help groups for families with mental disorders need to be done to help families overcome the problems that are solved together in a group. The benefit of this therapy is that there is an increase in family knowledge about Schizophrenia. This increase in knowledge will have an impact on the ability of families to care for Schizophrenia clients.The design of this study used a pre-experimental design with one group pre-posttest design. The sample in this study was the families of Schizophrenics in  Kalitidu public helath centre, amounting to 32.. Data were collected using a questionnaire and then analyzed using the Wolcoxon sign test with a significance level of 0.05.The results showed that the condition of the respondents before and after the intervention with self help group on the ability to care for Wilcoxon test value of 0.001, which means there is an influence of self help group intervention by caring for families with mental disorders. Keywords: Self Help Group, Caring Ability, Schizophrenia

Analysis on the Penetration Level of Wind Farm Considering Transient Stability Constraint and Uncertainty of Wind Power

2020 ◽  
Vol 13 (7) ◽  
pp. 1078-1086
Author(s):  
Bai Hao ◽  
Huang Andi ◽  
Zhou Changcheng
Keyword(s):  
Wind Power ◽  
Energy Function ◽  
Wind Farm ◽  
Transient Stability ◽  
Programming Model ◽  
Forecast Error ◽  
Credibility Theory ◽  
Mixed Integer ◽  
Stability Constraint ◽  
Level Problem

Background: The penetration level of a wind farm with transient stability constraint and static security constraint has been a key problem in wind power applications. Objective: The study explores maximum penetration level problem of wind considering transient stability constraint and uncertainty of wind power out, based on credibility theory and corrected energy function method. Methods: According to the corrected energy function, the transient stability constraint of the power grid is transferred to the penetration level problem of a wind farm. Wind speed forecast error is handled as a fuzzy variable to express the uncertainty of wind farm output. Then this paper builds a fuzzy chance-constrained model to calculate wind farm penetration level. To avoid inefficient fuzzy simulation, the model is simplified to a mixed integer linear programming model. Results: The results validate the proposed model and investigate the influence of grid-connection node, wind turbine characteristic, fuzzy reliability index, and transient stability index on wind farm penetration level. Conclusion: The result shows that the model proposed in this study can consider the uncertainty of wind power out and establish a quantitative transient stability constraint to determine the wind farm penetration level with a certain fuzzy confidence level.

Altmetrics of COVID-19 research: An analysis of study dissemination by Twitter compared to citation rates (Preprint)

2020 ◽  
Author(s):  
Nicholas Fabiano ◽  
Zachary Hallgrimson ◽  
Sakib Kazi ◽  
Jean-Paul Salameh ◽  
Stanley Wong ◽  
...  
Keyword(s):  
Social Media ◽  
Case Report ◽  
Open Access ◽  
South America ◽  
Negative Binomial ◽  
Citation Rate ◽  
Sign Test ◽  
Study Characteristics ◽  
Journal Impact ◽  
Epidemic Forecasting

BACKGROUND The COVID-19 pandemic has resulted in over 1,000,000 cases across 181 countries worldwide. The global impact of COVID-19 has resulted in a surge of related research. Researchers have turned to social media platforms, namely Twitter, to disseminate their studies. The online database Altmetric is a tool which tracks the social media metrics of articles and is complementary to traditional, citation-based metrics. Citation-based metrics may fail to portray dissemination accurately, due to the lengthy publication process. Altmetrics are not subject to this time-lag, suggesting that they may be an effective marker of research dissemination during the COVID-19 pandemic. OBJECTIVE To assess the dissemination of COVID-19 research articles as measured by Twitter dissemination, compared to traditional citation-based metrics, and determine study characteristics associated with tweet rates. METHODS COVID-19 studies obtained from LitCovid published between January 1st to March 18th, 2020 were screened for inclusion. The following study characteristics were extracted independently, in single: Topic (General Info, Mechanism, Diagnosis, Transmission, Treatment, Prevention, Case Report, and Epidemic Forecasting), open access status (open access and subscription-based), continent of corresponding author (Asia, Australia, Africa, North America, South America, and Europe), tweets, and citations. A sign test was used to compare the tweet rate and citation rate per day. A negative binomial regression analysis was conducted to evaluate the association between tweet rate and study characteristics of interest. RESULTS 1328 studies were included in the analysis. Tweet rates were found to be significantly higher than citation rates for COVID-19 studies, with a median tweet rate of 1.09 (SD 156.95) tweets per day and median citation rate of 0.00 (SD 3.02) citations per day, resulting in a median of differences of 1.09 (95% CI 0.86-1.33, P < .001). 2018 journal impact factors were positively correlated with tweet rate (P < .001). The topics Diagnosis (P = .01), Transmission (P < .001), Treatment (P = .01), and Epidemic Forecasting (P < 0.001) were positively correlated with tweet rate, relative to Case Report. The following continents of the corresponding author were negatively correlated with tweet rate, Africa (P <.001), Australia (P = .03), and South America (P < .001), relative to Asia. Open access journals were negatively correlated with tweet rate, relative to subscription-based journals (P < .001). CONCLUSIONS COVID-19 studies had significantly higher tweets rates compared to citation rates. This study further identified study characteristics that are correlated with the dissemination of studies on Twitter, such as 2018 journal impact factor, continent of the corresponding author, topic of study, and open access status. This highlights the importance of altmetrics in periods of rapidly expanding research, such as the COVID-19 pandemic to localize highly disseminated articles.

scholarly journals Orr's Quantitative Trait Loci Sign Test Under Conditions of Trait Ascertainment

Genetics ◽  
2003 ◽  
Vol 165 (1) ◽  
pp. 445-446 ◽  
Author(s):  
Eric C Anderson ◽  
Montgomery Slatkin
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Sign Test ◽  
Trait Loci

Estimation of IBNR claims by credibility theory

1982 ◽  
Vol 1 (1) ◽  
pp. 35-40 ◽  
Author(s):  
F. De Vylder
Keyword(s):  
Credibility Theory

Age affects the efficacy of immune checkpoint inhibitors in patients with advanced cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 2638-2638
Author(s):  
Yongjie Wang ◽  
Ronghua Yang ◽  
Dong Wang ◽  
Donghua Zhao ◽  
Peng Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Advanced Cancer ◽  
Immune Checkpoint ◽  
Older Patients ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Sign Test ◽  
Patients With Cancer ◽  
The Impact ◽  
Effect Of Age

2638 Background: Immune checkpoint inhibitors (ICIs), such as programmed death(ligand)1 (PD-(L)1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors, have dramatic effects on treatment in patients with various malignancies. High tumor mutation burden (TMB) is predictive of clinical response to ICI in multiple cancer types. Although age-related immune dysfunction might induce difference on the efficacy of ICIs between younger and older patients, the potential effect of age on the efficacy of ICIs remains little known and controversial. Herein, we aimed to analysis the association between age and the efficacy of ICIs based on MSKCC cohort. Methods: We screened out 1661 patients having complete information with advanced cancer, whose tumors underwent next-generation sequencing (NGS) detection and who were treated with at least one dose of ICI in MSKCC cohort. All patients were divided into two groups according to age, the younger group (age ≤50-year old) and the older group (age > 50-year old). We further analyzed the differences in overall survival (OS) and TMB between the two groups. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated via Cox regression model for OS and P-values were calculated via the Wilcoxon sign test for TMB. We analyzed the effect of age on ICI in lung cancer using the same way. Results: In 1661 patients with cancer in our study, 312 (19%) younger and 1349 (81%) older patients were found. The pooled HRs for OS was 1.28 (95% CI: 1.09-1.52) in younger group compared with older group. In 1661 patients with cancer, there was 350 (21%) patients with lung cancer, including 30 (9%) younger and 320 (91%) older patients. The pooled HRs for OS was 1.45 (95% CI: 0.95-2.23) in younger group compared with older group in lung cancer. In addition, TMB in older group was higher than in younger group and significant difference of TMB was found via the Wilcoxon sign test (p = 2.6e-10) between the two groups, especially in lung cancer (p = 1e-4). Conclusions: Our study assessed the impact of age on the efficacy of ICIs using the threshold of 50 years old for the first time and we founded that patients in older group had higher TMB and longer OS than younger group.

scholarly journals Sign test of independence between two random vectors

2003 ◽  
Vol 62 (1) ◽  
pp. 9-21 ◽  
Author(s):  
Sara Taskinen ◽  
Annaliisa Kankainen ◽  
Hannu Oja
Keyword(s):  
Sign Test ◽  
Random Vectors ◽  
Test Of Independence
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