Modelling repeated ordinal score data is a common statistical problem, across many application areas. The proportional-odds model is widely applied to such repeated ordinal scores and can be fitted in the repolr package (repeated measures proportional odds logistic regression) in R using the method of generalized estimating equations (GEE). The GEE approach specifies a model for the mean of the...

This study assesses the effect of green human resource management (GHRM) practices (overall) on organization’s environmental performance (OEP) and to identify how organizations can improve their EP by using GHRM through Green Employee Empowerment (GEE). The was based a questionnaire survey 340 responses from manufacturing sectors; key respondents were one each industry limited top management, H...

A publicação de informações sobre a emissão gases efeito estufa (GEE) é uma das formas organizações apresentarem para os seus públicos interesse que ela se preocupa com o meio ambiente e consequentemente sociedade. divulgação GEE produzidos durante atividade econômica empresas pode ocorrer em diversos meios comunicação: no sítio eletrônico da organização, Relatório Sustentabilidade, Relato Inte...

Multidimensional discrete data (MDD) i.e., arrays of arbitrary size, dimension, and base type appear in a variety of business, technical, and scientific application fields. RasDaMan is an effort to give comprehensive domain-independent MDD database support. Based on a formal algebraic array model, RasDaMan offers declarative array operators embedded in standard SQL; key DBMS components are an M...

In this article, we study a partially linear single-index model for longitudinal data under a general framework which includes both the sparse and dense longitudinal data cases. A semiparametric estimation method based on the combination of the local linear smoothing and generalized estimation equations (GEE) is introduced to estimate the two parameter vectors as well as the unknown link functi...

Inference in Generalized linear mixed models with multivariate random effects is often made cumbersome by the high-dimensional intractable integrals involved in the marginal likelihood. This article presents an inferential methodology based on the GEE approach. This method involves the approximations of the marginal likelihood and joint moments of the variables. It is also proposed an approxima...

Semi-parametric approaches based on generalized estimating equations (GEE) are widely used to analyze correlated outcomes in longitudinal settings. In this paper, we present a package CRTgeeDR developed for cluster randomized trials with missing data (CRTs). For use of inverse probability weighting to adjust for missing data in cluster randomized trials, we show that other software lead to bias...

OPSOMMING Daar bestaan ’n dringende behoefte aan ’n gesonde balans tussen wetenskap en die mensdom . Verpleging moet nie net suiwer tegnies of meganies wees nie; die verpleegster moet haarself noodwendig as versorgende mens gee. Die verpleegproses behels ’n verandering in die aard van die verpleegster waardeur sy daartoe kom om haarself te gee, wetenskaplik te dink en die gewoonte aankweek om a...