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Barriers to entry: An empirical assessment of Portuguese firms’ perceptions
This paper attempts to assess the variety and relevance of barriers to entry perceived by Portuguese firms. Based on a questionnaire, Portuguese firms’ perceptions were surveyed using a sample of 168
firms. The results suggest that sunk costs,…
firms. The results suggest that sunk costs,…
Barriers to recruitment of an observational SARS-CoV-2 emergency department cohort at Boston Medical Center
Successful recruitment of study participants is a challenging component of research, and recruitment barriers are amplified in safety-net hospital (SNH) settings. However, engaging historically underrepresented groups in research is critically…
Barriers to the success of cardiopulmonary resuscitation teams in emergency departments: A perspective from nurses
Cardiopulmonary arrest is one of the most important emergency situations in hospitals. Although cardiopulmonary resuscitation has long been the first step in these conditions, the low success rate of this process is still a major concern in treatment…
BASIC CONCEPTS OF ACCOUNTING IN ISLAMIC PERSPECTIVE
The current form of conventional accounting has been influenced and shaped by the prevailing value system present in Western civilization. Hence, it is indisputable that the conceptual framework employed as the foundation for formulating and…
BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces
We present the R package BASS as a tool for nonparametric regression. The primary
focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and
performing global sensitivity analyses of these models. The BASS framework is…
focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and
performing global sensitivity analyses of these models. The BASS framework is…
BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data
This article introduces the R package BayesCTDesign for two-arm randomized Bayesian
trial design using historical control data when available, and simple two-arm randomized Bayesian trial design when historical control data is not available. The…
trial design using historical control data when available, and simple two-arm randomized Bayesian trial design when historical control data is not available. The…
Bayesian Item Response Modeling in R with brms and Stan
Item response theory (IRT) is widely applied in the human sciences to model persons’
responses on a set of items measuring one or more latent constructs. While several
R packages have been developed that implement IRT models, they tend to be…
responses on a set of items measuring one or more latent constructs. While several
R packages have been developed that implement IRT models, they tend to be…
Bayesian Multivariate Spatial Models for Lattice Data with INLA
The INLAMSM package for the R programming language provides a collection of
multivariate spatial models for lattice data that can be used with the INLA package for
Bayesian inference. The multivariate spatial models implemented include different…
multivariate spatial models for lattice data that can be used with the INLA package for
Bayesian inference. The multivariate spatial models implemented include different…
Bayesian Random-Effects Meta-Analysis Using the bayesmeta R Package
The random-effects or normal-normal hierarchical model is commonly utilized in a
wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few…
wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few…