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Activity Number:
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131
- Translating Health Outcome Data into Real-World Understanding and Policies
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 8, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract #322879
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Title:
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Optimizing Tailored Intervention in Cost-Effectiveness Analysis
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Author(s):
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Shuai Chen*
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Companies:
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University of California, Davis
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Keywords:
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Cost-effectiveness analysis;
Censored data;
Tailored intervention;
Propensity score
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Abstract:
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It is widely recognized that treatments often have substantially different effects across a population. Cost-effectiveness analysis (CEA) is an important component of the economic evaluation of new treatment options. In many clinical studies of costs, censored data pose challenges to the CEA. Due to the induced dependent censoring problem, standard survival analysis techniques are often invalid for censored costs. We propose a method for estimating subgroup-specific costs and effectiveness with censored data, which would provide a tool to facilitate tailored decisions on cost-effectiveness based on patients’ characteristics. The method also allows straightforward incorporation of machine learning techniques and regularization methods for high-dimensional data. We then conducted numerical studies to evaluate the performance of the proposed method.
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Authors who are presenting talks have a * after their name.
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