Related Experiment Video
Updated: Jan 24, 2026

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
Published on: August 2, 2021
Interpretation of the Individual Effect Under Treatment Spillover
Forrest W Crawford1,2,3, Olga Morozova1, Ashley L Buchanan4
1Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut.
Abstract:
Some interventions are intended to benefit both individuals and the groups to which they belong. When a treatment given to one person exerts a causal effect on others, the treatment is said to exhibit spillover, dissemination, or interference. However, defining meaningful causal effects under spillover can be challenging. In this commentary, we discuss the meaning of the "individual effect," a quantity proposed to summarize the effect of treatment on the person who receives it, when spillover may be present.
Related Concept Videos
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
Interpreting Run Charts
Impact of Individuals on Individuals
Mass Spectrum: Interpretation
Interpretation of Confidence Intervals
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Interpreting X̄ Charts
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...

