WBR0792: Difference between revisions

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|AnswerDExp=This refers to the specificity.
|AnswerDExp=This refers to the specificity.
|AnswerE=76.92%
|AnswerE=76.92%
|AnswerEExp=This does not refer to any particular value.
|RightAnswer=C
|RightAnswer=C
|WBRKeyword=Negative predictive value
|WBRKeyword=Negative, predictive, value, negative predictive value
|Approved=No
|Approved=No
}}
}}

Revision as of 01:51, 31 October 2013

 
Author [[PageAuthor::Rim Halaby, M.D. [1]]]
Exam Type ExamType::USMLE Step 1
Main Category MainCategory::Biostatistics/ Epidemiology
Sub Category SubCategory::Dermatology
Prompt [[Prompt::A company is testing a new diagnostic tool for the detection of squamous cell carcinoma of the skin and comparing the results to biopsy specimens validated by professional dermatopathologists. The results are shown below. What is the probability that a person really doesn't have squamous cell carcinoma if his test result comes back negative?


]]

Answer A AnswerA::82.75%
Answer A Explanation AnswerAExp::This refers to the sensitivity.
Answer B AnswerB::80%
Answer B Explanation AnswerBExp::This refers to the positive predictive value.
Answer C AnswerC::94.11%
Answer C Explanation AnswerCExp::This refers to the NPV.
Answer D AnswerD::93.02%
Answer D Explanation AnswerDExp::This refers to the specificity.
Answer E AnswerE::76.92%
Answer E Explanation AnswerEExp::This does not refer to any particular value.
Right Answer RightAnswer::C
Explanation [[Explanation::The negative predictive value is the probability that a person really doesn't have disease if a test result is negative. The calculation is shown below.



Educational Objective:
References: ]]

Approved Approved::No
Keyword WBRKeyword::Negative, WBRKeyword::predictive, WBRKeyword::value, WBRKeyword::negative predictive value
Linked Question Linked::
Order in Linked Questions LinkedOrder::