Background Several reviews have noted shortcomings regarding the quality and reporting of
network meta-analyses (NMAs). We suspect that this issue may be partially attributable to …

We report a comprehensive review of the published reading studies on retrieval interference
in reflexive-/reciprocal-antecedent and subject-verb dependencies. We also provide a …

The scale and drivers of marine biodiversity loss are being revealed by the International
Union for Conservation of Nature (IUCN) Red List assessment process. We present the first …

This article explains a decision rule that uses Bayesian posterior distributions as the basis
for accepting or rejecting null values of parameters. This decision rule focuses on the range …

In this paper, we study the usage of stacking approach for building ensembles of machine
learning models. The cases for time series forecasting and logistic regression have been …

Stable isotope analysis provides a powerful tool to identify the energy sources which fuel
consumers, to understand trophic interactions and to infer consumer trophic position (TP), an …

Experiments in research on memory, language, and in other areas of cognitive science are
increasingly being analyzed using Bayesian methods. This has been facilitated by the …

BUGS is a software package for Bayesian inference using Gibbs sampling. The software has
been instrumental in raising awareness of Bayesian modelling among both academic and …

Background The banning of mass-gathering indoor events to prevent SARS-CoV-2 spread
has had an important effect on local economies. Despite growing evidence on the suitability …

Mixed treatment comparison (MTC)(also called network meta‐analysis) is an extension of
traditional meta‐analysis to allow the simultaneous pooling of data from clinical trials …