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11.
By applying the supplies-values (S-V) fit approach from the complementary person-environment (P-E) fit literature to the leader-employee perspective, and drawing upon social exchange theory, we examine how fulfillment of different work values is related to Leader-Member Exchange (LMX) and work outcomes. First, polynomial regression analyses combined with response surface analysis of data collected at two time points (N = 316) showed that LMX (Time 2) was higher the more the leader fulfills the employee's work values (Time 1). Second, LMX (Time 2) was higher when leader supplies (Time 1) and employee work values (Time 1) were both high than when both were low. Third, analyses of data from a sub-sample of matched leader-employee dyads (N = 140), showed that LMX (Time 2) played a mediating role on the relation between S-V fit (Time 1) and work outcomes (Time 2). Specifically, we found eight out of 10 relationships between S-V fit (Time 1) and leader-rated task performance and OCB (Time 2) to be fully mediated by LMX (Time 2). LMX (Time 2) partially mediated the relation between S-V fit (Time 1) and job satisfaction (Time 2) as only two out of five relationships were fully mediated. 相似文献
12.
This paper presents some powerful omnibus tests for multivariate normality based on the likelihood ratio and the characterizations of the multivariate normal distribution. The power of the proposed tests is studied against various alternatives via Monte Carlo simulations. Simulation studies show our tests compare well with other powerful tests including multivariate versions of the Shapiro–Wilk test and the Anderson–Darling test. 相似文献
13.
14.
Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation 下载免费PDF全文
Margaret Gamalo‐Siebers Jasmina Savic Cynthia Basu Xin Zhao Mathangi Gopalakrishnan Aijun Gao Guochen Song Simin Baygani Laura Thompson H. Amy Xia Karen Price Ram Tiwari Bradley P. Carlin 《Pharmaceutical statistics》2017,16(4):232-249
Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics. 相似文献
15.
Steven G. From 《统计学通讯:理论与方法》2013,42(12):3167-3183
In this paper, a new test statistic is presented for testing the null hypothesis of equal multinomial cell probabilities versus various trend alternatives. Exact asymptotic critical values are obtained, The power of the test is compared with several other statistics considered by Choulakian et al (1995), The test is shown to have better power for certain trend alternatives. 相似文献
16.
仲伟通 《中国石油大学学报(社会科学版)》2016,(3):84-88
对于社会主义文化强国建设而言,中华优秀传统文化、社会主义核心价值观是不可或缺的重要话语体系,是国家软实力的显著标志。中华优秀传统文化与社会主义核心价值观在逻辑运演与实践运行上体现出密不可分、水乳交融的内在契合。中华优秀传统文化是社会主义核心价值观的涵养之源,社会主义核心价值观是弘扬中华优秀传统文化的价值导引,中华优秀传统文化与社会主义核心价值观可以实现现实联动。只有寻求中华优秀传统文化与社会主义核心价值观的静态支撑、动态联缀,才能更好构筑"四个全面"战略布局的价值向度,强力推进中华民族伟大复兴中国梦的顺利实现。 相似文献
17.
This study treats an asymptotic distribution for measures of predictive power for generalized linear models (GLMs). We focus on the regression correlation coefficient (RCC) that is one of the measures of predictive power. The RCC, proposed by Zheng and Agresti is a population value and a generalization of the population value for the coefficient of determination. Therefore, the RCC is easy to interpret and familiar. Recently, Takahashi and Kurosawa provided an explicit form of the RCC and proposed a new RCC estimator for a Poisson regression model. They also showed the validity of the new estimator compared with other estimators. This study discusses the new statistical properties of the RCC for the Poisson regression model. Furthermore, we show an asymptotic normality of the RCC estimator. 相似文献
18.
Nina Meinel 《AStA Advances in Statistical Analysis》2009,93(2):159-174
For multivariate probit models, Spiess and Tutz suggest three alternative performance measures, which are all based on the
decomposition of the variation. The multivariate probit model can be seen as a special case of the discrete copula model.
This paper proposes some new measures based on the value of the likelihood function and the prediction-realization table.
In addition, it generalizes the measures from Spiess and Tutz for the discrete copula model. Results of a simulation study
designed to compare the different measures in various situations are presented. 相似文献
19.
In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption. 相似文献
20.
In a series of papers, Kshirsagar (1964, 1971) and McHenry and Kshirsagar (1977), factorize Wilks' A into a number of factors and find the independent null multivariate beta densities of these factors. These factors are the likelihood ratio test criteria for testing the goodness of fit of certain assigned discriminant functions or canonical variables either in the space of independent or dependent variables. Essentially the factors of Wilks' A are the factors of certain multivariate beta distributed matrix or its determinant. The Bartlett decomposition of the underlying multivariate beta distribution into independent factors determines the distribution of these factors. The present paper generalizes Kshirsagar's (1971) normal theory to the elliptically contoured model, and shows that his results are null robust for the elliptically contoured model. 相似文献