Framework for constructing an optimal weighted score based on agreement

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.

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Publication Details

Journal
Journal of Applied Statistics
Published
2024-09-05
DOI
https://doi.org/10.1080/02664763.2024.2399586
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00

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article

Framework for constructing an optimal weighted score based on agreement

Tanja Jovanović, Manatunga Amita, Zhiping Qiu, Ying Guo et al.
Journal of Applied Statistics
Multi-Criteria Decision Making
article

Framework for constructing an optimal weighted score based on agreement

Tanja Jovanović, Manatunga Amita, Zhiping Qiu, Ying Guo, Limin Peng
article en

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.

Journal of Applied StatisticsVol. 52(4)
Fujian Normal University (CN), Emory University (US), Wayne State University (US)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Multi-Criteria Decision Making
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Framework for constructing an optimal weighted score based on agreement — Tanja Jovanović, Manatunga Amita, et al. · Journal of Applied Statistics (2024) | TGRS Research Map | TGRS