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Is the evaluation of risk of bias in periodontology and implant dentistry comprehensive? A systematic review
(Wiley, 2015)
Background/Objective The objective of this study was to assess how authors of systematic reviews (SRs) with meta-analyses published in periodontology and implant dentistry evaluate risk of bias (ROB) in primary studies ...
A panel data approach to economic forecasting: the bias-corrected average forecast
(Escola de Pós-Graduação em Economia da FGV, 2008-01-01)
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using ...
A panel data approach to economic forecasting: the bias-corrected average forecast
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2007-09-01)
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using ...
Authors report lack of time as main reason for unpublished research presented at biomedical conferences: a systematic review
(Elsevier, 2015)
OBJECTIVES: To systematically review reports that queried abstract authors about reasons for not subsequently publishing abstract results as full-length articles. STUDY DESIGN AND SETTING: Systematic review of MEDLINE, ...
Codon usage and codon context bias in Xanthophyllomyces dendrorhous
(BioMed Central, 2015)
Background
Synonymous codons are used differentially in organisms from the three domains of life, a phenomenon referred to as codon usage bias. In addition, codon pair bias, particularly in the 3’ codon context, has also ...
Gender-biased evaluation or actual differences? Fairness in the evaluation of faculty teaching
(Springer Science and Business Media B.V., 2021)
© 2021, The Author(s), under exclusive licence to Springer Nature B.V.How do we know if a faculty teaching evaluation is biased? Biasing factors studies are an influential source of evidence for arguing about biased teaching ...
A debiasing framework for deep learning applied to the morphological classification of galaxies.
(Universidad de Concepción.Departamento de Ingeniería Informática y Ciencias de la Computación, 2023)
In order to train deep learning models, usually a large amount of correctly annotated data
is needed. Depending on the data domain, the task of correctly annotating data can prove to be difficult, as in many cases the ...
Traditional versus facebook-based surveys: Evaluation of biases in self-reported demographic and psychometric information
(Max Planck Society, 2020-01)
Background: Social media in scientific research offers a unique digital observatory of human behaviours and hence great opportunities to conduct research at large scale, answering complex sociodemographic questions. We focus ...