Evidence map›Paper›PMID 40040675›Full record

ArticleJournal of applied statistics2025

Framework for constructing an optimal weighted score based on agreement.

Zhiping Qiu, Manatunga Amita, Limin Peng, Ying Guo, Tanja Jovanovic

Abstract read
In one paragraph

Article in Journal of applied statistics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Zhiping QiuSchool of Mathematics and Statistics & Key Laboratory of Analytical Mathematics and Applications (Ministry of Education) & Fujian Provincial Key Laboratory of Statistics and Artificial Intelligence, Fujian Normal University, Fuzhou, People's Republic of China.
Manatunga AmitaDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Limin PengDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Ying GuoDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Tanja JovanovicDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.

Funding

Statistical ICA Methods for Analysis & Integration of Multi-dimensional Data Diversity SupplementR01MH105561 · NIMH · EMORY UNIVERSITY · PI GUO, YING, KANG, JIAN · 2014 to 2024
$4.3M
Method Development for Survival Dynamic Regression in Chronic Disease ResearchR01HL113548 · NHLBI · EMORY UNIVERSITY · PI PENG, LIMIN · 2012 to 2021
$3.1M
Statistical Methods for Analyzing Complex, Multi-dimensional Data from Cross-sectional and Longitudinal Mental Health StudiesR01MH118771 · NIMH · EMORY UNIVERSITY · PI GUO, YING, MANATUNGA, AMITA K. · 2019 to 2023
$3.1M
Method Development of Agreement Measures and Applications in Mental HealthR01MH079448 · NIMH · EMORY UNIVERSITY · PI GUO, YING, MANATUNGA, AMITA K. · 2008 to 2016
$2.2M
Developing statistical image analysis tools for non-invasive monitoring of anemia in low birth weight infantsR01HL159213 · NHLBI · EMORY UNIVERSITY · PI MANATUNGA, AMITA K. · 2021 to 2024
$2.1M
NHLBI NIH HHS R01 HL113548NHLBI NIH HHS R01 HL159213NIMH NIH HHS R01 MH079448NIMH NIH HHS R01 MH105561NIMH NIH HHS R01 MH118771
6 · The paper itself

Abstract

In many medical studies, questionnaires or instruments with item ratings are often used to measure the health outcomes reflecting the disease status. Therefore, combining these item ratings to derive a score that reflects the disease status is an important issue. This paper proposes a new weighted method with the weights determined by maximizing the broad sense agreement Peng et al. [L. Peng, R. Li, Y. Guo, and A. Manatunga, A framework for assessing broad sense agreement between ordinal and continuous measurements, J. Am. Stat. Assoc. 106 (2011), pp. 1592-1601.] between the new score and the disease status measured by an ordinal scale. Theoretical and simulation results demonstrate the validity of our proposed optimal weights. We illustrate our method via an application to a post-traumatic stress disorder (PTSD) study.

Indexed as

49-00Broad sense agreementoptimal weightPTSDsmooth approximationweighted score

Identifiers

PMID40040675
PMCPMC11873963

What OpenQuestion holds

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Registered trials

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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.