Qini Curves for Potential Impact Assessment of Risk Predictive Models Informing Intervention Policies

Coverage and disutility capture key value components of prediction-based policies. The method can be used for comparing models or tuning risk thresholds for managing trade-offs between conflicting objectives (eg, clinical benefits, side effects, and healthcare resources).

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Publication Details

Journal
Value in Health
Published
2025-02-01
DOI
https://doi.org/10.1016/j.jval.2025.01.024
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00
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article

Qini Curves for Potential Impact Assessment of Risk Predictive Models Informing Intervention Policies

Pierpaolo Palumbo
Value in Health
Health Systems, Economic Evaluations, Quality of Life
article

Qini Curves for Potential Impact Assessment of Risk Predictive Models Informing Intervention Policies

Pierpaolo Palumbo
article en

Abstract

Coverage and disutility capture key value components of prediction-based policies. The method can be used for comparing models or tuning risk thresholds for managing trade-offs between conflicting objectives (eg, clinical benefits, side effects, and healthcare resources).

Value in Health
Laboratori Guglielmo Marconi (Italy) (IT)
Openalex Percentile: Top 96%
Health Systems, Economic Evaluations, Quality of Life
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Qini Curves for Potential Impact Assessment of Risk Predictive Models Informing Intervention Policies — Pierpaolo Palumbo · Value in Health (2025) | TGRS Research Map | TGRS