Evidence map›Paper›PMID 30467878›Full record

ArticleStatistics in medicine2019

Estimating the receiver operating characteristic curve in matched case control studies.

Hui Xu, Jing Qian, Nina P Paynter, Xuehong Zhang, Brian W Whitcomb, Shelley S Tworoger, Kathryn M Rexrode, Susan E Hankinson, Raji Balasubramanian

Abstract read
In one paragraph

Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  4. Lipidomic profiles associated with treatment related hepatotoxicity in children with acute lymphoblastic leukemia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  12. Comparison ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hui XuDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003.
Jing QianDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003.
Nina P PaynterDepartment of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts 02115.
Xuehong ZhangDepartment of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts 02115.
Brian W WhitcombDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003.
Shelley S TworogerMoffitt Cancer Center, Tampa, Florida 33612.
Kathryn M RexrodeDepartment of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts 02115.
Susan E HankinsonDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003.
Raji BalasubramanianDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003.ORCID 0000-0002-1488-1692

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Women's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Growth Hormones and Breast Cancer RiskR01CA138580 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2010 to 2013
$1.7M
TRIAL OF VITAMIN E, BETA-CAROTENE &ASPRIN IN WOMENR01HL043851 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E · 1991 to 2000
$1.6M
Statistical Methods for large-scale, prospective, epidemiologic studiesR01HL122241 · NHLBI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI BALASUBRAMANIAN, RAJI · 2015 to 2018
$1.5M
NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA047988NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA138580NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL043851NHLBI NIH HHS R01 HL122241
6 · The paper itself

Abstract

The matched case-control design is frequently used in the study of complex disorders and can result in significant gains in efficiency, especially in the context of measuring biomarkers; however, risk prediction in this setting is not straightforward. We propose an inverse-probability weighting approach to estimate the predictive ability associated with a set of covariates. In particular, we propose an algorithm for estimating the summary index, area under the curve corresponding to the Receiver Operating Characteristic curve associated with a set of pre-defined covariates for predicting a binary outcome. By combining data from the parent cohort with that generated in a matched case control study, we describe methods for estimation of the population parameters of interest and the corresponding area under the curve. We evaluate the bias associated with the proposed methods in simulations by considering a range of parameter settings. We illustrate the methods in two data applications: (1) a prospective cohort study of cardiovascular disease in women, the Women's Health Study, and (2) a matched case-control study nested within the Nurses' Health Study aimed at risk prediction of invasive breast cancer.

Indexed as

Case-Control StudiesROC CurveAdultAgedAged, 80 and overAge FactorsBreast NeoplasmsCardiovascular DiseasesFemaleHumansMiddle AgedModels, StatisticalProbabilityRisk FactorsAUCbiomarker discoveryinverse probability weightingmatched case control studiesreceiver operating characteristic (ROC) curve

Identifiers

PMID30467878
PMCPMC6768691

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.