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- W2488342024 abstract "Bayesian statistics <italic>478</italic> How Bayesian methods work <italic>480</italic> Prior distributions <italic>482</italic> Likelihood; posterior distributions <italic>484</italic> Summarizing and presenting results <italic>486</italic> Using Bayesian analyses in medicine <italic>488</italic> Software for Bayesian statistics <italic>492</italic> Reading Bayesian analyses in papers <italic>494</italic> Bayesian methods: a summary <italic>496</italic> In this chapter we describe the Bayesian approach to statistical analysis in contrast to the frequentist approach. We describe how Bayesian methods work including a description of prior and posterior distributions. We outline the role and choice of prior distributions and how they are combined with the data collected to provide an updated estimate of the unknown quantity being studied. We include examples of the use of Bayesian methods in medicine, and discuss the pros and cons of the Bayesian approach compared with the frequentist approach Finally, we give guidance on how to read and interpret Bayesian analyses in the medical literature...." @default.
- W2488342024 created "2016-08-23" @default.
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- W2488342024 date "2010-11-01" @default.
- W2488342024 modified "2023-09-26" @default.
- W2488342024 title "Bayesian statistics" @default.
- W2488342024 doi "https://doi.org/10.1093/med/9780199551286.003.0014" @default.
- W2488342024 hasPublicationYear "2010" @default.
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