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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 ...
Learning from potentially biased statistics
(Brookings Institution Press, 2016-03)
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural ...
Authors report lack of time as main reason for unpublished research presented at biomedical conferences: a systematic review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, ...
A multivariate statistical process control procedure for BIAS identification in steady-state processes
(John Wiley & Sons Inc, 2008-08)
In this article, a multivariate statistical process control (MSPC) strategy, devoted to bias identification and estimation for processes operating under steady-state conditions, is presented. The technique makes use of the ...
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 ...
Bias-corrected estimators for dispersion models with dispersion covariates
(ELSEVIER SCIENCE BV, 2011)
In this paper we discuss bias-corrected estimators for the regression and the dispersion parameters in an extended class of dispersion models (Jorgensen, 1997b). This class extends the regular dispersion models by letting ...
Second-order biases of maximum likelihood estimates in overdispersed generalized linear models
(2001)
In this paper, we derive general formulae for second-order biases of maximum likelihood estimates in overdispersed
generalized linear models, thus generalizing results by Cordeiro and McCullagh (J. Roy. Statist. Soc. Ser. ...
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 ...