Subgroup Analysis
Definition
A subgroup analysis examines whether treatments differ across specific groups within a study, like age, sex, disease severity, or genetic markers.
Correct Scientific Usage
Subgroup analyses are most reliable when they are pre-specified and biologically plausible. They are used to explore whether treatment effects are consistent or vary meaningfully across different populations. Because studies are often underpowered to detect subgroup differences, these analyses are typically considered exploratory unless confirmed by additional evidence.
Common Misunderstandings
Subgroup findings are often treated as definitive when they’re typically exploratory. The more subgroups examined, the higher the probability of finding false-positive differences by chance alone.
People also mistake post-hoc subgroup analyses (decided after seeing results) for planned analyses. Post-hoc analyses are particularly prone to finding misleading patterns and should be interpreted with great skepticism.
Why It Matters
Subgroup analyses help uncover heterogeneity in treatment response and identify who may be most likely to benefit from an intervention. When misused or over-interpreted, however, they can also generate misleading conclusions. Understanding their limitations prevents overconfidence in findings that may not hold up in subsequent research.
References
- Statistics in Medicine — Reporting of Subgroup Analyses in Clinical Trials, NEJM
- Interpretation of subgroup analyses in systematic reviews: A tutorial, Clinical Epidemiology and Global Health
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