Try it
PSM · Biostatistics: intention-to-treat analysis
Sample itemIn a randomised trial of a new antihypertensive, 20 of 200 patients allocated to the new drug stopped it within a month because of side effects. The trialist analyses all 200 in the group to which they were randomised. What is this approach called and why is it preferred?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
B. Intention-to-treat analysis, which preserves the balance created by randomisation
In intention-to-treat analysis every participant is analysed in the arm to which he or she was randomised, regardless of adherence. This keeps the groups comparable and reflects the effect of a treatment policy in real practice. Excluding non-adherers can reintroduce bias because they often differ systematically.
Option by option
A. Per-protocol analysis, which gives the purest estimate of biological efficacy
Per-protocol analysis would exclude non-adherers and could bias the comparison.
B. Intention-to-treat analysis, which preserves the balance created by randomisation (correct)
Correct. Analysis by original allocation protects randomisation.
C. As-treated analysis, which removes bias from drop-outs
As-treated analysis regroups patients by the drug received and breaks randomisation.
D. Subgroup analysis, which tests effect in side-effect sufferers
Subgroup analysis examines a defined stratum and does not describe analysing all randomised patients.
Source note: Original NextPrep sample item — pending expert review. This item is original practice material awaiting independent expert review, so confirm important facts in a standard textbook.
More PSM questions
- BiostatisticsOf 200 people who truly have a disease, a screening test is positive in 180. What is the…
- Environmental healthAfter one hour of contact time, what residual free chlorine level is generally recommend…
- EpidemiologyWhich study design is the most efficient for investigating risk factors of a rare disease?
- BiostatisticsIn hypothesis testing, a Type I error is: