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Regression to the mean: treatment effect without the intervention.
Veronica Morton1, David J Torgerson
1York Trials Unit, Department of Health Sciences, University of York, York, UK. vm9@york.ac.uk
Regression to the mean (RTM) is a statistical phenomenon where extreme measurements tend to be closer to the average upon re-measurement. This can falsely suggest treatment effectiveness, highlighting the need to distinguish RTM from genuine effects.
Area of Science:
- Statistics
- Biostatistics
- Clinical Research Methodology
Background:
- Regression to the mean (RTM) is a statistical phenomenon observed when extreme groups are selected based on a variable.
- It describes the tendency for subsequent measurements of the same group to move closer to the population mean.
Observation:
- Extreme initial measurements, whether high or low, are likely to be less extreme on subsequent measurements.
- This shift can be mistakenly interpreted as a treatment effect, confounding results.
Findings:
- Interventions targeting extreme groups may appear effective due solely to RTM, not the intervention itself.
- Failure to account for RTM leads to inaccurate conclusions about treatment efficacy.
Implications:
- Crucial for accurate interpretation of results in clinical trials, public health studies, and management decisions.
- Distinguishing RTM from true treatment effects is essential for evidence-based decision-making.
- Ignoring RTM can lead to flawed interpretations and misguided interventions.
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