# ANDROMEDA-SHOCK (or, how to intepret HR 0.76, 95% CI 0.55-1.02, p=0.06)

**URL:** <https://discourse.datamethods.org/t/andromeda-shock-or-how-to-intepret-hr-0-76-95-ci-0-55-1-02-p-0-06/1349>\
**Category:** general\
**Created:** [February 18, 2019, 11:03am UTC](https://discourse.datamethods.org/t/andromeda-shock-or-how-to-intepret-hr-0-76-95-ci-0-55-1-02-p-0-06/1349 "2019-02-18T11:03:47Z")\
**Posts on this page:** 1\
**Showing post:** 26

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**Author:** ![BenYAndrew](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/benyandrew/32/455_2.png) [@BenYAndrew](https://discourse.datamethods.org/u/BenYAndrew)\
**Post date:** [February 19, 2019, 4:52am UTC](https://discourse.datamethods.org/t/andromeda-shock-or-how-to-intepret-hr-0-76-95-ci-0-55-1-02-p-0-06/1349/26 "2019-02-19T04:52:20Z")

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Here is a quick and simple interactive adaptation of @DanLane911’s awesome code using Shiny: [https://benjamin-andrew.shinyapps.io/andromeda\_shock\_bayesian/](https://benjamin-andrew.shinyapps.io/andromeda_shock_bayesian/). The top right of the plot displays: (1) posterior probability of HR \< 1 and (2) the prior probability ‘above’ the MCID (i.e., HR \< 0.524) as a measure of prior skepticism. Would probably benefit from some more flexibility in defining the prior (i.e., ability to manipulate the % of prior above MCID directly), which I’ll work on. Happy to include anything else that may be useful and, of course, welcome any criticisms/comments/revisions! Code is here: [https://github.com/andrew10043/andromeda\_shock\_bayesian/blob/master/app.R](https://github.com/andrew10043/andromeda_shock_bayesian/blob/master/app.R).

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