International journal of statistics and probability最新文献_第4页

Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 12, No. 1 《国际统计与概率杂志》第12卷第1期审稿人致谢

International journal of statistics and probability Pub Date : 2022-12-31 DOI: 10.5539/ijsp.v12n1p66

Wendy Smith

引用次数: 0

Reproducibility of Health Claims in Meta-Analysis Studies of COVID Quarantine (Stay-at-Home) Orders 新冠肺炎隔离（居家）令荟萃分析研究中健康声明的可重复性

International journal of statistics and probability Pub Date : 2022-12-23 DOI: 10.5539/ijsp.v12n1p54

S. Young, W. Kindzierski

{"title":"Reproducibility of Health Claims in Meta-Analysis Studies of COVID Quarantine (Stay-at-Home) Orders","authors":"S. Young, W. Kindzierski","doi":"10.5539/ijsp.v12n1p54","DOIUrl":"https://doi.org/10.5539/ijsp.v12n1p54","url":null,"abstract":"The coronavirus pandemic (COVID) has been an extraordinary test of modern government scientific procedures that inform and shape policy. Many governments implemented COVID quarantine (stay-at-home) orders on the notion that this nonpharmaceutical intervention would delay and flatten the epidemic peak and largely benefit public health outcomes. The overall research capacity response to COVID since late 2019 has been massive. Given a lack of research transparency, only a small fraction of published research has been judged by others to be reproducible before COVID. Independent evaluation of published meta-analysis on a common research question can be used to assess the reproducibility of a claim coming from that field of research. We used a p-value plotting statistical method to independently evaluate reproducibility of specific research claims made in four meta-analysis studies related to benefits/harms of COVID quarantine orders. Research claims that these meta-analyses covered included: mortality, mental health symptoms, incidence of domestic violence, and suicidal ideation (thoughts of killing yourself). Three of the four meta-analysis studies that we evaluated (mortality, mental health symptoms, incidence of domestic violence) raise further questions about benefits/harms of this form of intervention. The fourth meta-analysis study (suicidal ideation) is judged to be unreliable. Given lack of research transparency and irreproducibility of published research, independent evaluation of meta-analysis studies using p-value plotting is offered as a way to strengthen or refute (falsify) claims made in COVID research.","PeriodicalId":89781,"journal":{"name":"International journal of statistics and probability","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45273651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Regression: Identifying Good and Bad Leverage Points 回归：识别好的和坏的杠杆点

International journal of statistics and probability Pub Date : 2022-12-20 DOI: 10.5539/ijsp.v12n1p1

R. Wilcox, Lai Xu

引用次数: 0

On the Mixture of Topp–Leone–G Class and Exponentiated–G Class of Distribution 分布的Topp-Leone-G类与指数- g类的混合

International journal of statistics and probability Pub Date : 2022-12-20 DOI: 10.5539/ijsp.v12n1p9

M. Seham, I. B. Omnia

引用次数: 0

Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 11, No. 6 《国际统计与概率杂志》第11卷第6期审稿人致谢

International journal of statistics and probability Pub Date : 2022-10-30 DOI: 10.5539/ijsp.v11n6p74

Wendy Smith

引用次数: 0

Negative Binomial and Geometric; Bivariate and Difference Distributions 负二项式与几何；二元分布与差分分布

International journal of statistics and probability Pub Date : 2022-10-30 DOI: 10.5539/ijsp.v11n6p65

Y. Tashkandy

引用次数: 0

Simple Sampling for SARS-CoV-2 Infection in Hidalgo 伊达尔戈严重急性呼吸系统综合征冠状病毒2型感染的简单采样

International journal of statistics and probability Pub Date : 2022-10-26 DOI: 10.5539/ijsp.v11n6p41

L. V. Torres, J. Escamilla

{"title":"Simple Sampling for SARS-CoV-2 Infection in Hidalgo","authors":"L. V. Torres, J. Escamilla","doi":"10.5539/ijsp.v11n6p41","DOIUrl":"https://doi.org/10.5539/ijsp.v11n6p41","url":null,"abstract":"Throughout the history of our country, different policies have left an incentive for favorable changes, however, none by itself has managed to combat the problems of chronic malnutrition, to which the current pandemic is added. The state of Hidalgo is in a nutritional transition, with persistent child undernutrition and the predominance of chronic diseases associated with malnutrition (undernutrition, overweight and obesity). Part of this research aims to contribute (in a second phase) to the adequacy of current public policy in the fight against malnutrition and, of course, to the current needs experienced by the SARS-CoV-2 infection contingency. This work develops the application of simple sampling and the stages involved in this statistical tool, whose objective is to establish which part of the reality under study should be studied in order to make inferences about a given population. From the period contemplated between April 28, 2020 and March 8, 2022, the 84 municipalities of the state of Hidalgo reported a total of 86,124 confirmed cases of SARS-CoV-2 infection, from which a sample size of 1,054 subjects has been calculated (representativeness of 91.35% of the target population). The correct application of mathematics in the context of health should allow us to enjoy good health, especially if these results are focused on the promotion and prevention of diseases and their complications; mathematics has surpassed the frontiers of knowledge in various areas and its implementation in this case with respect to public policy and nutrition.","PeriodicalId":89781,"journal":{"name":"International journal of statistics and probability","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42334357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review of Copula for Bivariate Distributions of Zero-Inflated Count Time Series Data 零膨胀计数时间序列数据二元分布的Copula综述

International journal of statistics and probability Pub Date : 2022-10-26 DOI: 10.5539/ijsp.v11n6p28

Dimuthu Fernando, Mohammed Alqawba, Manar D. Samad, N. Diawara

{"title":"Review of Copula for Bivariate Distributions of Zero-Inflated Count Time Series Data","authors":"Dimuthu Fernando, Mohammed Alqawba, Manar D. Samad, N. Diawara","doi":"10.5539/ijsp.v11n6p28","DOIUrl":"https://doi.org/10.5539/ijsp.v11n6p28","url":null,"abstract":"The class of bivariate integer-valued time series models, described via copula theory, is gaining popularity in the literature because of applications in health sciences, engineering, financial management and more. Each time series follows a Markov chain with the serial dependence captured using copula-based distribution functions from the Poisson and the zero-inflated Poisson margins. The copula theory is again used to capture the dependence between the two series. \u0000 \u0000However, the efficiency and adaptability of the copula are being challenged because of the discrete nature of data and also in the case of zero-inflation of count time series. Likelihood-based inference is used to estimate the model parameters for simulated and real data with the bivariate integral of copula functions. While such copula functions offer great flexibility in capturing dependence, there remain challenges related to identifying the best copula type for a given application. This paper presents a survey of the literature on bivariate copula for discrete data with an emphasis on the zero-inflated nature of the modelling. We demonstrate additional experiments on to confirm that the copula has potential as greater research area.","PeriodicalId":89781,"journal":{"name":"International journal of statistics and probability","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70766701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combining Correlated P-values From Primary Data Analyses 组合来自主要数据分析的相关P值

International journal of statistics and probability Pub Date : 2022-10-20 DOI: 10.5539/ijsp.v11n6p12

J. Choi, B. Nandram, Boseung Choi

{"title":"Combining Correlated P-values From Primary Data Analyses","authors":"J. Choi, B. Nandram, Boseung Choi","doi":"10.5539/ijsp.v11n6p12","DOIUrl":"https://doi.org/10.5539/ijsp.v11n6p12","url":null,"abstract":"Research results on the same subject, extracted from scientific papers or clinical trials, are combined to determine a consensus. We are primarily concerned with combining p-values from experiments that may be correlated. We have two methods, a non-Bayesian method and a Bayesian method. We use a model to combine these results and assume the combined results follow a certain distribution, for example, chi-square or normal. The distribution requires independent and identically distributed (iid) random variables. When the data are correlated or non-iid, we cannot assume such distribution. In order to do so, the combined results from the model need to be adjusted, and the adjustment is done “indirectly” through two test statistics. Specifically, one test statistic (TS** ) is obtained for the non-iid data and the other is the test statistic (TS) is obtained for iid data. We use the ratio between the two test statistics to adjust the model test statistic (TS**) for its non-iid violation. The adjusted TS** is named as “effective test statistics” (ETS), which is then used for statistical inferences with the assumed distribution. As it is difficult to estimate the correlation, to provide a more coherent method for combining p-values, we also introduce a novel Bayesian method for both iid data and non-iid data. The examples are used to illustrate the non-Bayesian method and additional examples are given to illustrate the Bayesian method.","PeriodicalId":89781,"journal":{"name":"International journal of statistics and probability","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45846342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 11, No. 5 《International Journal of Statistics and Probability》第11卷第5期审稿人致谢

International journal of statistics and probability Pub Date : 2022-09-13 DOI: 10.5539/ijsp.v11n5p53

Wendy Smith

引用次数: 0