Title : RxPG TargetPG AIPG 2006 Book
Author : Dr.J.Mariano Anto Bruno Mascarenhas
Biostatistic 2 Questions (063 to 064)
AIPG 2006
Biostatistics
References
Park (obviously!!)
Methods in Biostatistics for Medical Students and Research Workers - 6th Edition - B.K.Mahajan - Jaypee Publishers
Methods of Biostatistics - Bhaskar Rao - PARAS Publishers
High Yield Biostatistics
The Basic Concepts in Biostatistics (given in all books)
| Disease Status | Disease Status | |
Test Results | Diseased | Not Diseased | Total |
Positive | a = true positive | b = false positive | a + b |
Negative | c = false negative | d = true negative | c + d |
Total | a + c | b + d | a + b + c + d |
Formulae
Sensitivity = a/(a+c) x 100
Specificity = d/(b+d) x 100
Predictive Value of Positive Test = a/(a+b) x 100
Predictive Value of Negative Test = d/(c+d) x 100
Percentage of false positive = b/(b+d) x 100
Percentage of false negative = c/(a+c) x 100
063. In a village having population of 1000, we found patients with certain disease and the results of a new diagnostic test on that disease are given below.
| Disease | |
Test result | Present | Absent |
+ | 180 | 400 |
- | 20 | 400 |
Which of the following is the positive predictive value of diagnostic test in that population
1. 45
2. 31
3. 95
4. 50
Answer
2. 31
Reference
Park 18th Edition Page 117
Quality
Thinker
Status
Repeat
QTDF
All Books
Discussion
| | True Positive | |
Predictive Value of Positive Test | = | ------------------------------------- | x100 |
| | True Positive +False Positive | |
Explanation
| | 180 | |
Predictive Value of Positive Test | = | ------------ | x100 |
| | 180 +400 | |
| | | |
| | 180 | |
| = | -------- | x100 |
| | 580 | |
| | | |
| = | 31.034 | |
Comments
Predictive value reflects the diagnostic power of the test. The 'predictive value of a positive test' indicates the probability that a patient with a positive test result has in fact; the disease in question. The more prevalent a disease, in a given population, the more accurate will be the predictive value of a positive screening test. the predictive value of a positive test falls as disease prevalence declines.
Ä In positive predictive test the denominator is: True positive + False positive.
Ä In negative predictive test, the denominator is: False negative + True negative
Tips
Be ready with all the formulae in Statistics. Often you may get numerical Problems
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