Statistics in Transition最新文献_第8页

Scaled Fisher consistency for the partial likelihood estimation in various extensions of the Cox model Cox模型各种扩展中偏似然估计的标度Fisher一致性

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0023

T. Bednarski, Piotr B. Nowak, Magdalena Skolimowska-Kulig

{"title":"Scaled Fisher consistency for the partial likelihood estimation in various extensions of the Cox model","authors":"T. Bednarski, Piotr B. Nowak, Magdalena Skolimowska-Kulig","doi":"10.2478/stattrans-2022-0023","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0023","url":null,"abstract":"Abstract The Cox proportional hazards model has become the most widely used procedure in survival analysis. The theoretical basis of the original model has been developed in various extensions. In the recent years, vital research has been undertaken involving the incorporation of random effects to survival models. In this setting, the random effect is a variable (frailty) which embraces a variation among individuals or groups of individuals which cannot be explained by observable covariates. The right choice of the frailty distribution is essential for an accurate description of the dependence structure present in the data. In this paper, we aim to investigate the accuracy of inference based on the primer Cox model in the existence of unobserved heterogeneity, that is, when the data generating mechanism is more complex than presumed and described by the kind of an extension of the Cox model with undefined frailty. We show that the conventional partial likelihood estimator under the considered extension is Fisher-consistent up to a scaling factor, provided symmetry-type distributional assumptions on covariates. We also present the results of simulation experiments that reveal an exemplary behaviour of the estimators.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"185 - 196"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46189480","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

Advances on Permutation Multivariate Analysis of Variance for big data 大数据变异多元方差分析研究进展

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0022

S. Bonnini, Getnet Melak Assegie

引用次数: 2

On the quick estimation of probability of recovery from COVID-19 during first wave of epidemic in India: a logistic regression approach 关于印度第一波疫情期间COVID-19恢复概率的快速估计:逻辑回归方法

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0024

Hemlata Joshi, S. Azarudheen, M. Nagaraja, Singh Chandraketu

引用次数: 1

A Bayesian estimation of the Gini index and the Bonferroni index for the Dagum distribution with the application of different priors 不同先验条件下Dagum分布的Gini指数和Bonferroni指数的贝叶斯估计

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0016

Sangeeta Arora, K. Mahajan, Vikas Jangra

引用次数: 0

The length-biased power hazard rate distribution: Some properties and applications 长度偏置功率危险率分布:一些特性和应用

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0013

A. Mustafa, M. I. Khan

引用次数: 2

Institutional equilibrium in EU economies in 2008 and 2018: SEM-PLS models 2008年和2018年欧盟经济体的制度均衡：SEM-PLS模型

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0019

Mateusz Borkowski

{"title":"Institutional equilibrium in EU economies in 2008 and 2018: SEM-PLS models","authors":"Mateusz Borkowski","doi":"10.2478/stattrans-2022-0019","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0019","url":null,"abstract":"Abstract The aim of the research is to identify the strength and direction of the development of the relationship between formal and informal institutions and to assess the institutional equilibrium of modern economies. The structural equations modelling based on partial least squares (SEM-PLS) is applied to achieve the purpose of the article. It is an econometric method that allows the measurement and analysis of the dependencies between latent variables (measures that cannot be directly observed). The study included 27 EU economies and the research period covered the years 2008 and 2018. The results of the study demonstrate that the quality of informal institutions strongly, positively determines the quality of formal institutions. The conducted analyses indicate that modern economies are diversified in terms of the quality of informal and formal institutions and, consequently, in institutional equilibrium. Considerable institutional disparities also translate into a large diversification in economic development. The article proposes a different meaning of institutional equilibrium, understood as the achieved state of institutional structure characterised by high quality informal institutions which interact with each other to improve the efficiency of formal institutions. The article presents a comprehensive model of the institutional structure and a unique method of measuring institutional equilibrium.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"107 - 127"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41885672","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

Socio-economic development and quality of life of NUTS-2 units in the European Union 欧洲联盟NUTS-2单位的社会经济发展和生活质量

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0015

Maciej Jewczak, Magdalena Brudz

{"title":"Socio-economic development and quality of life of NUTS-2 units in the European Union","authors":"Maciej Jewczak, Magdalena Brudz","doi":"10.2478/stattrans-2022-0015","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0015","url":null,"abstract":"Abstract Analyses regarding socio-economic development and quality of life are an important aspect of research and discussion for many international organisations, states and local authorities. Due to the complexity and multidimensionality of these issues, conducting research can be problematic. The conclusions of various analytical centres indicate that there are many paths towards establishing a set of factors which affect quality of life and ways of assessing socio-economic development levels. Depending on the criteria considered, the most common methods for determining the degree of the advancement of life quality or socio-economic development include taxonomical techniques and analyses of potential, which are based mainly on objective data sourced from official registers. The main purpose of the paper is to investigate the level of socio-economic development and quality of life in the European Union in the years 2004 and 2018. The analyses were conducted for a rarely used level of spatial data aggregation, i.e. for NUTS-2 units. The analysis covers only those European regions that were EU members in 2004. As the primary research tool, the two-dimensional development matrix was adopted, which enabled the verification of the hypothesis regarding the convergence of synthetic measures that indicate the levels of socio-economic development and quality of life in the EU regions. For these indices, the development matrix is also used to identify the strengths and weaknesses as well as the opportunities and threats for selected spatial units, and, at the same time, to estimate the rates of change of the socio-economic development and quality of life levels.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"33 - 48"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41984122","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

On the nonparametric estimation of the conditional hazard estimator in a single functional index 单函数指标下条件危险估计量的非参数估计

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0018

Abdelmalek Gagui, Abdelhak Chouaf

引用次数: 0

Extracting relevant predictors of the severity of mental illnesses from clinical information using regularisation regression models 利用正则化回归模型从临床信息中提取精神疾病严重程度的相关预测因子

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0020

Sakshi Kaushik, A. Sabharwal, G. Grover

{"title":"Extracting relevant predictors of the severity of mental illnesses from clinical information using regularisation regression models","authors":"Sakshi Kaushik, A. Sabharwal, G. Grover","doi":"10.2478/stattrans-2022-0020","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0020","url":null,"abstract":"Abstract Mental disorders are common non-communicable diseases whose occurrence rises at epidemic rates globally. The determination of the severity of a mental illness has important clinical implications and it serves as a prognostic factor for effective intervention planning and management. This paper aims to identify the relevant predictors of the severity of mental illnesses (measured by psychiatric rating scales) from a wide range of clinical variables consisting of information on both laboratory test results and psychiatric factors. The laboratory test results collectively indicate the measurements of 23 components derived from vital signs and blood tests results for the evaluation of the complete blood count. The 8 psychiatric factors known to affect the severity of mental illnesses are considered, viz. the family history, course and onset of an illness, etc. Retrospective data of 78 patients diagnosed with mental and behavioural disorders were collected from the Lady Hardinge Medical College & Smt. S.K, Hospital in New Delhi, India. The observations missing in the data are imputed using the non-parametric random forest algorithm. The multicollinearity is detected based on the variance inflation factor. Owing to the presence of multicollinearity, regularisation techniques such as ridge regression and extensions of the least absolute shrinkage and selection operator (LASSO), viz. adaptive and group LASSO are used for fitting the regression model. Optimal tuning parameter λ is obtained through 13-fold cross-validation. It was observed that the coefficients of the quantitative predictors extracted by the adaptive LASSO and the group of predictors extracted by the group LASSO were comparable to the coefficients obtained through ridge regression.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"129 - 152"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42749561","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

Jackknife winsorized variance estimator under imputed data 估算数据下的Jackknife winsorized方差估计

Statistics in Transition Pub Date : 2022-06-01 DOI: 10.2478/stattrans-2022-0014

Fariha Sohil, M. U. Sohail, J. Shabbir, Sat Gupta

引用次数: 0