BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses
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 …
network meta-analyses (NMAs). We suspect that this issue may be partially attributable to …
Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis
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 …
in reflexive-/reciprocal-antecedent and subject-verb dependencies. We also provide a …
Overfishing drives over one-third of all sharks and rays toward a global extinction crisis
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 …
Union for Conservation of Nature (IUCN) Red List assessment process. We present the first …
Rejecting or accepting parameter values in Bayesian estimation
JK Kruschke - Advances in methods and practices in …, 2018 - journals.sagepub.com
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 …
for accepting or rejecting null values of parameters. This decision rule focuses on the range …
Using stacking approaches for machine learning models
B Pavlyshenko - 2018 IEEE second international conference on …, 2018 - ieeexplore.ieee.org
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 …
learning models. The cases for time series forecasting and logistic regression have been …
tRophicPosition, an r package for the Bayesian estimation of trophic position from consumer stable isotope ratios
C Quezada‐Romegialli, AL Jackson… - Methods in Ecology …, 2018 - Wiley Online Library
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 …
consumers, to understand trophic interactions and to infer consumer trophic position (TP), an …
Toward a principled Bayesian workflow in cognitive science.
DJ Schad, M Betancourt, S Vasishth - Psychological methods, 2021 - psycnet.apa.org
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 …
increasingly being analyzed using Bayesian methods. This has been facilitated by the …
The BUGS project: Evolution, critique and future directions
D Lunn, D Spiegelhalter, A Thomas… - Statistics in …, 2009 - Wiley Online Library
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 …
been instrumental in raising awareness of Bayesian modelling among both academic and …
Same-day SARS-CoV-2 antigen test screening in an indoor mass-gathering live music event: a randomised controlled trial
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 …
has had an important effect on local economies. Despite growing evidence on the suitability …
Automating network meta‐analysis
G van Valkenhoef, G Lu, B de Brock… - Research synthesis …, 2012 - Wiley Online Library
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 …
traditional meta‐analysis to allow the simultaneous pooling of data from clinical trials …