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Post test probability was next estimated.
The Bayes theorem was applied to arrive at the post test probability.
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However, post-test probability depends on pre-test probability.
The post-test probability depends on the pre-test probability.
The ROC curve analysis measures post-test probability.
The post-test probability can be calculated as: Post-test probability = post-test odds/(post-test odds + 1).
The patterns generated relatively small changes from pretest to post-test probability of cardiac abnormalities.
Post-test probability (PTP) was calculated using the overall prevalence of 20% with Fagan nomograms.
In the intervention arm, physicians are provided with cytokine results and the updated post-test probability.
The impact of LRs on estimation of post-test probability is unclear.
The post-test probability can then be combined with estimates of effectiveness for known treatments [ 33].
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