2017
DOI: 10.1080/13854046.2017.1306111
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Review of doing Bayesian data analysis: a tutorial with R, JAGS, and Stan (second edition)

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Cited by 12 publications
(11 citation statements)
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“…Bayesian methods were used to assess predictors of HBsAg clearance in a multivariable analysis by estimating HBsAg loss posterior probability (mixed logistic model) with non-informative priors (centered at the value of no effect, with very tight precision of 0.001) [22] and using a time-varying approach. Modeling results were expressed as Odd-ratios (OR) with credibility intervals at 95% (CrI) of HBsAg clearance.…”
Section: Methodsmentioning
confidence: 99%
“…Bayesian methods were used to assess predictors of HBsAg clearance in a multivariable analysis by estimating HBsAg loss posterior probability (mixed logistic model) with non-informative priors (centered at the value of no effect, with very tight precision of 0.001) [22] and using a time-varying approach. Modeling results were expressed as Odd-ratios (OR) with credibility intervals at 95% (CrI) of HBsAg clearance.…”
Section: Methodsmentioning
confidence: 99%
“…We aim to provide probabilistic interpretations of the CLASSIC results to aid researchers and clinicians with decision‐making. The Bayesian analysis provides direct probabilities and allows a more straightforward way to quantify uncertainties using credible intervals (CrI) representing a range within which the true parameter value falls with a certain probability 6–12 . This is often clearer and more intuitive to interpretate compared to the frequentist confidence intervals.…”
Section: Introductionmentioning
confidence: 99%
“…This is often clearer and more intuitive to interpretate compared to the frequentist confidence intervals. Additionally, we sought to nuance the interpretation as the Bayesian framework enables integration of pre‐existing knowledge such as findings from recent meta‐analyses 6,12 . This enhances sequential updating as new evidence emerges, making it suitable for addressing evolving research questions.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the low prevalence of T. solium cysticercosis (12 of 1281 pigs were positive) regression coefficients for the mixed-effects logistic regression model were estimated using a Bayesian approach implemented in JAGS [ 18 , 19 ]. Flat (uninformed) prior distributions were assumed for the intercept β 0 and each of the regression coefficients for the fixed effects β 1 ⋯ β m .…”
Section: Methodsmentioning
confidence: 99%