ArticleEpidemiology (Cambridge, Mass.)2016
Using the Lorenz Curve to Characterize Risk Predictiveness and Etiologic Heterogeneity.
Article in Epidemiology (Cambridge, Mass.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Global, regional, and national impact of epidemic disasters on health workforce equality between 1990 and 2019: An ecological and modeling study.PLoS medicine · 2026Article
- Using tiered accreditation and decentralized governance to achieve population-based equity in pulmonary and critical care medicine in the Chinese mainland.Communications medicine · 2026Article
- Unobserved individual-level variation in cardiovascular mortality in birth cohorts born before and after 1945.BMC cardiovascular disorders · 2026Article
- Predicting high health care use in patients with spinal disorder in secondary care: model development and validation.Pain reports · 2026Article
- Use of the Lorenz curve and the Gini index for the evaluation of HIV viral load distribution in an Italian community.Frontiers in public health · 2025Article
- Individual heterogeneity, educational attainment and cardiovascular mortality: a pooled analysis of Norwegian health surveys.BMJ public health · 2024Article
- Prognostic properties of the baseline prostate-specific antigen value-insights from the European randomized study of screening for prostate cancer.Translational andrology and urology · 2024Article
- Road Traffic Injuries in Iran: Epidemiology and Equitable Distribution of Emergency Services.Bulletin of emergency and trauma · 2024Article
- Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time Horizons.Journal of general internal medicine · 2023Article
- Article
- Predicting avoidable hospital events in Maryland.Health services research · 2022Article
- Understanding Drivers of Coronavirus Disease 2019 (COVID-19) Racial Disparities: A Population-Level Analysis of COVID-19 Testing Among Black and White Populations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Risk prediction models versus simplified selection criteria to determine eligibility for lung cancer screening: an analysis of German federal-wide survey and incidence data.European journal of epidemiology · 2020Article
- Article
- Introducing risk inequality metrics in tuberculosis policy development.Nature communications · 2019Article
- Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China.International journal of environmental research and public health · 2019Article
- The prevalence of pre-exposure prophylaxis use and the pre-exposure prophylaxis-to-need ratio in the fourth quarter of 2017, United States.Annals of epidemiology · 2018Article
- The surprising implications of familial association in disease risk.BMC public health · 2018Article
- Examining changes in the equity of physician distribution in Japan: a specialty-specific longitudinal study.BMJ open · 2018Article
- Inequality in genetic cancer risk suggests bad genes rather than bad luck.Nature communications · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The Lorenz curve is a graphical tool that is used widely in econometrics. It represents the spread of a probability distribution, and its traditional use has been to characterize population distributions of wealth or income, or more specifically, inequalities in wealth or income. However, its utility in public health research has not been broadly established. The purpose of this article is to explain its special usefulness for characterizing the population distribution of disease risks, and in particular for identifying the precise disease burden that can be predicted to occur in segments of the population that are known to have especially high (or low) risks, a feature that is important for evaluating the yield of screening or other disease prevention initiatives. We demonstrate that, although the Lorenz curve represents the distribution of predicted risks in a population at risk for the disease, in fact it can be estimated from a case-control study conducted in the population without the need for information on absolute risks. We explore two different estimation strategies and compare their statistical properties using simulations. The Lorenz curve is a statistical tool that deserves wider use in public health research.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.