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Updated: Oct 26, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Screening and Selection: The Case of Mammograms
Liran Einav1, Amy Finkelstein2, Tamar Oostrom3
1Department of Economics, Stanford University, and the National Bureau of Economic Research.
Women who follow breast cancer screening recommendations are healthier than those who don't. Delaying screening ages increases deaths significantly due to these selection patterns.
Area of Science:
- Oncology
- Health Economics
- Biostatistics
Background:
- Current guidelines recommend initiating breast cancer screening at age 40.
- Understanding adherence patterns is crucial for evaluating screening efficacy.
Purpose of the Study:
- To analyze selection into breast cancer screening based on age recommendations.
- To quantify the impact of screening adherence on cancer outcomes.
Main Methods:
- Combined medical claims data with a clinical oncology model.
- Analyzed screening behavior in relation to cancer incidence.
- Modeled the impact of shifting screening recommendations on mortality.
Main Results:
- Individuals adhering to screening recommendations (compliers) had lower cancer prevalence compared to younger women who self-selected for screening or those who never screened.
- Shifting the recommended screening start age from 40 to 45 resulted in a threefold increase in deaths under random selection compared to estimated selection patterns.
Conclusions:
- The characteristics of individuals who comply with screening recommendations significantly influence the estimated effectiveness of screening programs.
- Recommendations for cancer screening should account for self-selection biases to accurately assess population-level impact and optimize public health strategies.
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