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Think globally, act globally: An epidemiologist's perspective on instrumental variable estimation
Summary
Instrumental variable (IV) methods are crucial in epidemiology. This study critiques the local average treatment effect (LATE) in IV analyses, arguing for a return to the global average treatment effect (ATE) for broader public health relevance.
Area of Science:
- Epidemiology
- Econometrics
- Biostatistics
Background:
- Instrumental variable (IV) methods are widely used in epidemiologic research.
- The common focus on local average treatment effect (LATE) over global average treatment effect (ATE) has been a source of confusion and debate across disciplines.
- Previous discussions have highlighted concerns regarding the utility of LATE for clinical practice and policy due to its focus on a subset of the population (compliers).
Purpose of the Study:
- To critically evaluate the limitations of the local average treatment effect (LATE) as an estimand in epidemiologic and public health research.
- To question the tenability of the monotonicity assumption, often required for LATE identification.
- To propose alternative methods that recenter the focus on the global average treatment effect (ATE) for greater population relevance.
Main Methods:
- Critical review and discussion of existing literature on instrumental variable (IV) methods, specifically focusing on LATE and ATE.
- Analysis of the assumptions underlying LATE, including the monotonicity condition.
- Exploration of alternative effect measures beyond LATE.
Main Results:
- The relevance of LATE as a primary effect measure in epidemiology is questioned.
- The monotonicity assumption is deemed not plausible in many common epidemiologic settings.
- The limitations of LATE hinder its applicability for informing clinical practice and policy decisions.
Conclusions:
- The exclusive focus on LATE in IV analyses may not be optimal for public health and clinical decision-making.
- Alternative approaches that estimate the global average treatment effect (ATE) are needed to provide more broadly applicable insights.
- Revisiting and refining IV methods to prioritize ATE estimation is essential for advancing epidemiologic research and its translation into practice.
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