Evidence-Based Practice: practice problems and exam questions

The statistics needed to read clinical research: 2 × 2 tables for diagnostic tests, predictive values and likelihood ratios, prevalence and incidence, relative and absolute risk, the number needed to treat, and the basics of confidence intervals and significance tests.

Cram pack (PDF)Formula sheets, method steps and practice problems with full solutions, ready to print.

Topics in this course

  1. Evidence-based practice statistics2 × 2 tables, prevalence and incidence · likelihood ratios, risk measures and rates · predictive values, post-test probability and NNTcalculations
  2. Descriptive statisticsmean and median · standard deviation · normal distributioncalculations
  3. Confidence intervalsz interval · t interval · sample sizecalculations
  4. Hypothesis tests & confidence intervalsz statistic · t statistic · confidence intervalscalculations

Exam tips for Evidence-Based Practice

  • Label a, b, c and d in the 2 × 2 table before you calculate anything.
  • Sensitivity and specificity read down the columns, predictive values along the rows.
  • The NNT is 1/ARR, rounded up, and it depends on the baseline risk.

Worked examples

Evidence-based practice statisticsEasy
testdisease presentdisease absenttotalpositive324350674abnegative76780856cdtotal40011301530

Practice exercise (made-up values, not clinical guidance). A new test was compared with the reference standard in a study (see the 2 × 2 table). Find the sensitivity Se as a percentage. Round to one decimal place.

a = 324b = 350c = 76d = 780

Find Se (%)

Show hints
  1. Sensitivity: of everyone with the disease, how many test positive?
  2. Se = a/(a + c).
  3. 324/400.
Show the answer and the step-by-step solution

Diagnostic 2 × 2 table: a = true positives, b = false positives, c = false negatives, d = true negatives. Sensitivity = a/(a + c) (positives among those with the disease), specificity = d/(b + d), PPV = a/(a + b) (disease among those who test positive), NPV = d/(c + d), accuracy = (a + d)/total. Prevalence = existing cases/population; cumulative incidence = new cases/population at risk.

Formula

Se = a/(a + c)

Substitute

Se = 324/400 = 0.81 = 81%

Answer

Se = 81%
Descriptive statisticsMedium
152025303540455055

Find the sample standard deviation s of the data: 26, 57, 34, 22, 53, 13, 59.

n = 7

Find s

Show hints
  1. First find the mean.
  2. Square each deviation from the mean, add them, divide by n − 1 and take the square root.
  3. x̄ = 37.71.
Show the answer and the step-by-step solution

Descriptive statistics: the mean is the sum divided by n; the median is the middle value of the sorted data (the average of the two middle values when n is even). The sample standard deviation is s = √(Σ(x − x̄)²/(n − 1)). A z-score z = (x − μ)/σ says how many standard deviations a value lies from the mean.

Mean

x̄ = 264/7 = 37.71

Squared deviations

Σ(x − x̄)² = (−11.71)² + 19.29² + (−3.714)² + (−15.71)² + 15.29² + (−24.71)² + 21.29² = 2067

Standard deviation

s = √(2067/6) = 18.56

Answer

s = 18.56

How practising works

  • “Practise this course” mixes problems from all its topics, like a real exam.
  • Every problem has new values, so you learn the method instead of an answer.
  • Stuck? Open a small hint first, and the full explanation only when you need it.
  • Mock exams are timed and have no hints, and you get your score and a full review at the end.

Calculators for this course

Related courses