Probability that a person have disease

Reference no: EM1396479

Medical tests are used to indicate whether a person has a particular disease.

The sensitivity of a test is the probability that a person having the disease will test positive (indicating the person has the disease, i.e., it's the probability the test will pick up the fact that a person has the disease).

The specificity of a test is the probability that a person not having the disease will test negative.

A test for a certain disease has been in use for many years. Based on the "track record" of this test, its sensitivity is .934 and its specificity is .968. Finally, in the population, 1 in 500 people has the disease.

a) What is the probability that a person who tests positive actually has the disease?

b) What value would the specificity of the test have to have in order for the probability to exceed .5 that a person who tests positive actually has the disease?

Reference no: EM1396479

Questions Cloud

Is the reliance element met as long as plaintiff in fraud : Is the reliance element met as long as the plaintiff in a fraud in the inducement case actually relied on the defendant's false statement?

Inserting mrna molecule into cytoplasm of eukaryotic cell : In an experimental situation, a student researcher inserts an mRNA molecule into the cytoplasm of a eukaryotic cell after she has removed its 5' cap and poly-A tail.

Information about correlation analysis : What information is provided by the numeral value of the Pearson correlation? What is the major distinction between the Pearson and Spear man correlations?

Illustrate what safeguards could be implemented : Should companies automatically grant adjustments? For example, some consumers buy a video camera or a dress for a special event also return the product afterwards. Illustrate what safeguards could be implemented?

Probability that a person have disease : The sensitivity of a test is the probability that a person having the disease will test positive (indicating the person has the disease, i.e., it's the probability the test will pick up the fact that a person has the disease).

What would be the result of this testcross : In a separate experiment CC dd individuals were crossed to cc DD individuals. The F1 generation was then testcrossed to cc dd individuals. What would be the result of this testcross.

Simple case of linear regression analysis : Considering the simple case of linear regression analysis (one dependent and one independent variable) please share a couple of limiting and empowering factors related to this important tool.

How far apart are the c and d genes : In order to map the distance between two linked genes, CC DD individuals were crossed to cc dd individuals. The F1 generation was then testcrossed to cc dd individuals.

Illustrate what are the consequences of such reports : List as many problems as you can. Illustrate what are the consequences of such reports? Illustrate what could go wrong as a result? Explain how does the prototyping process help guard against each problem?

User Account

All Pages