Talk:Pre- and post-test probability: Difference between revisions

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==Motivation for having own article==

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But that can be read directly off of the chart given in the article, in one calculation, by the definition of conditional probability:

:<math> P( Cancer = True | Test = True) = \frac{ P(Cancer = True \andland Test = True)}{P(Test=True)} = \frac{2}{2+8} = 0.10</math>

That seems '''way''' easier than the complicated multi-step process described in the example. So why would you ever do it that way?

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== Disadvantage of Likelihood ratios ==

I deleted the disadvantage of LR in the table because it is possible to do a calculation of likelihood ratios for tests with continuous values or more than two outcomes which is similar to the calculation for dichotomous outcomes; a separate likelihood ratio is simply calculated for every level of test result and is called interval or stratum specific likelihood ratios.<fontspan sizestyle=1"font-size:x-small;">{{cite journal | doi = 10.1067/mem.2003.274 | author = Brown MD, Reeves MJ. | year = 2003 | title = Evidence-based emergency medicine/skills for evidence-based emergency care. Interval likelihood ratios: another advantage for the evidence-based diagnostician | url = | journal =Ann Emerg Med | volume = 42 | issue = 2| pages = 292-297 | pmid = 12883521 }}</fontspan> [[User:Gcastellanos|Gcastellanos]] ([[User talk:Gcastellanos|talk]]) 10:56, 16 February 2015 (UTC)

:I didn't know that was possible. Thanks for pointing this out {{=)}} I mentioned it in the article too. [[User:Mikael Häggström|Mikael Häggström]] ([[User talk:Mikael Häggström|talk]]) 08:16, 18 February 2015 (UTC)