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Multiparameter evidence synthesis in epidemiology and medical decision-making

Ades, A. E., & Sutton, A. J. (2006). Multiparameter evidence synthesis in epidemiology and medical decision-making: current approaches. Journal of the Royal Statistical Society, Series A, 169(1), 5-35.

Type
Journal article
Intellectual base
Review or monograph
Year
2006
Volume
169
Issue
1
Pages
5-35
ISSN
1467-985X
DOI
10.1111/j.1467-985x.2005.00377.x
DOI registrant
Oxford University Press
Link
https://doi.org/10.1111/j.1467-985X.2005.00377.x
Cited from
statistics_experimental_design

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

  • Bayesian Updating
    • In epidemiology, Bayesian evidence synthesis combines trial data, observational studies, and expert priors to estimate public health parameters

      This sourceReviews Bayesian frameworks for combining trial data, observational studies, and expert priors to estimate public-health parameters. SUPPORTS marker 010 (re-sourced from schervish-1995, a general theory text that did not back the epi-synthesis claim).

      Supported in partVerified against the publisher's abstract

      This review's abstract supports Bayesian-style synthesis that combines evidence across different study designs in epidemiology, but it never states the role of expert priors or of estimating public-health parameters.

      “Alongside the development of meta-analysis as a tool for summarizing research literature, there is renewed interest in broader forms of quantitative synthesis that are aimed at combining evidence from different study designs or evidence on multiple parameters.”

      From the publisher's abstract.

      Read by an automated reader; not a human review. How support was checked

Verification

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Registry ID ref:05101f8c6c31 · see in the full table