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An introduction to instrumental variables for epidemiologists
1Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA 90095-1772, USA.
International Journal of Epidemiology
|August 3, 2000
Summary
Instrumental-variable (IV) methods, though decades old, are becoming more relevant in epidemiology. Recent non-parametric versions enhance causal and measurement-error models, particularly for non-compliance in randomized trials.
Area of Science:
- Epidemiology
- Biostatistics
- Causal Inference
Background:
- Instrumental-variable (IV) methods have a long history but are underutilized in epidemiology.
- Recent advancements include non-parametric IV methods, bridging them with causal and measurement-error models.
Purpose of the Study:
- To introduce recent developments in non-parametric instrumental-variable (IV) methods.
- To illustrate the application of these methods in epidemiological contexts.
Main Methods:
- Focus on non-parametric instrumental-variable (IV) approaches.
- Application to non-parametric adjustment for non-compliance in randomized trials.
Main Results:
- Demonstrates the utility of non-parametric IV methods in addressing complex epidemiological problems.
- Highlights the connection between IV methods and causal inference models.
Conclusions:
- Non-parametric IV methods offer powerful tools for epidemiological research.
- These methods are valuable for handling issues like non-compliance and measurement error in observational and experimental studies.