2010
DOI: 10.1016/j.jclinepi.2009.06.003
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Methods to elicit beliefs for Bayesian priors: a systematic review

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Cited by 162 publications
(168 citation statements)
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“…'Good practice' recommendations for eliciting expert opinion were followed, in particular by including a feedback question and allowing the experts to revise their answers. 106 The scale of scores for the elicitation exercise is the same as the original scale for the EQ-5D-3L utility score, multiplied by 100 for ease of completion. The expert is provided with possible scores for typical patients, with six exemplar diagnoses on the scale between -20 and 100 (based on published literature), which were chosen as they were anticipated to be familiar to our experts and because they spanned the EQ-5D-3L scale.…”
Section: Developing and Validating A 48-hour Mortality Risk Scorementioning
confidence: 99%
“…'Good practice' recommendations for eliciting expert opinion were followed, in particular by including a feedback question and allowing the experts to revise their answers. 106 The scale of scores for the elicitation exercise is the same as the original scale for the EQ-5D-3L utility score, multiplied by 100 for ease of completion. The expert is provided with possible scores for typical patients, with six exemplar diagnoses on the scale between -20 and 100 (based on published literature), which were chosen as they were anticipated to be familiar to our experts and because they spanned the EQ-5D-3L scale.…”
Section: Developing and Validating A 48-hour Mortality Risk Scorementioning
confidence: 99%
“…An additional important feature of Bayesian methods is the incorporation of evidence additional to the conventional data. 87,88 This additional evidence is called a prior distribution and summarises information from external sources.…”
Section: Evidence Of Experts' Prior Beliefs For the Effectiveness Of mentioning
confidence: 99%
“…These include the ability to interpret CIs as providing intervals that contain the true effect with some particular probability, say a 95% probability; shifting the focus of interpretation away from dichotomising whether the data suggest the intervention works or not, that is, by not claiming a 'significant' or 'null result', and instead providing estimates of probabilities of benefits greater than some clinically important effect size, and so switching focus to how clinically important the intervention might be; and, finally, allowing for the inclusion of evidence additional to the conventional data. 88,118 This additional evidence is called a prior distribution and summarises information from external sources. External evidence could perhaps be subjective opinions.…”
Section: Introductionmentioning
confidence: 99%
“…Some forms of evidence, such as uniform case series, could even contribute to false positive judgments if the prevalence is too low for the series' sampling frame to capture counter-examples, or if alternative causes to abuse have not been sought. While attempts have been made to correct for bias in the quantification of expert opinion (Kynn 2008;Johnson et al 2010) these involve expert surveys, which are clearly not appropriate for the assessment of abuse.…”
Section: Introductionmentioning
confidence: 99%