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UPSC CMS PSM - General Epidemiology & Biostatistics

Attempt UPSC CMS PSM - General Epidemiology & Biostatistics under real exam conditions. Features timed computer-based test interface, textbook explanations, and detailed subject rank analytics.

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Real CBT Simulator Grid & Percentile
Duration
15 Mins
Countdown timer with review palette.
Marking Scheme
+2.08 / -0.69
Exact negative marking as per official exam rules.
Textbook Citations
Harrison & Bailey
Standard medical textbook solution references.
Target Exam
UPSC CMS
Official paper pattern & syllabus coverage.

📝 Sample Question Preview from UPSC CMS PSM - General Epidemiology & Biostatistics

Below is a preview of sample questions included in this mock test. Launch the live simulator to attempt the complete test.

Question 1

In a closed cohort, cumulative incidence is calculated as:

Consider the following statements:

  1. In the context of the question, “All existing cases divided by total population” is the most appropriate conclusion.
  2. Cumulative incidence is a risk or proportion over a specified period. Incidence density instead uses person-time in the denominator.

Which of the statements given above is/are correct?

A. 1 only
B. 2 only
C. Both 1 and 2
D. Neither 1 nor 2
Textbook Explanation Highlight:
Correct answer: 2 only. Statement 1 is incorrect. Statement 2 is correct. Cumulative incidence is a risk or proportion over a specified period. Incidence density instead uses person-time in the denominator. Therefore, the underlying single-best concl...
Question 2

Which measure is most directly estimated in a case-control study?

Consider the following statements:

  1. Case-control sampling begins with outcome status, so risks are not measured directly. The exposure odds ratio estimates the incidence rate ratio and approximates the risk ratio when disease is rare.
  2. In the context of the question, “Odds ratio” is the most appropriate conclusion.
  3. In the context of the question, “Cumulative incidence” is the most appropriate conclusion.

Which of the statements given above is/are correct?

A. 1 and 2 only
B. 2 and 3 only
C. 1 and 3 only
D. 1, 2 and 3
Textbook Explanation Highlight:
Correct answer: 1 and 2 only. Statement 1 is correct. Statement 2 is correct. Statement 3 is incorrect. Case-control sampling begins with outcome status, so risks are not measured directly. The exposure odds ratio estimates the incidence rate ratio a...
Question 3

A district epidemiologist is interpreting surveillance and research data before recommending action.

Sensitivity is the probability that a test is positive among people who:

Select the single best answer.

A. Were not exposed
B. Truly have the disease
C. Truly do not have the disease
D. Test positive regardless of disease
Textbook Explanation Highlight:
Correct answer: Truly have the disease. Sensitivity equals true positives divided by all diseased persons. A highly sensitive test has few false negatives. The alternatives—Truly do not have the disease, Test positive regardless of disease, Were not...
Question 4

Specificity is the probability that a test is negative among people who:

Consider the following statements:

  1. Specificity equals true negatives divided by all non-diseased persons. A highly specific test has few false positives.
  2. In the context of the question, “Truly have the disease” is the most appropriate conclusion.

Which of the statements given above is/are correct?

A. 1 only
B. 2 only
C. Both 1 and 2
D. Neither 1 nor 2
Textbook Explanation Highlight:
Correct answer: 1 only. Statement 1 is correct. Statement 2 is incorrect. Specificity equals true negatives divided by all non-diseased persons. A highly specific test has few false positives. Therefore, the underlying single-best conclusion is Truly...
Question 5

When disease prevalence increases while test sensitivity and specificity remain fixed, positive predictive value generally:

Consider the following statements:

  1. In the context of the question, “Decreases” is the most appropriate conclusion.
  2. With higher pre-test probability, a positive result is more likely to be a true positive. Negative predictive value generally falls as prevalence rises.

Which of the statements given above is/are correct?

A. 1 only
B. 2 only
C. Both 1 and 2
D. Neither 1 nor 2
Textbook Explanation Highlight:
Correct answer: 2 only. Statement 1 is incorrect. Statement 2 is correct. With higher pre-test probability, a positive result is more likely to be a true positive. Negative predictive value generally falls as prevalence rises. Therefore, the underlyi...
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