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Naslov:Handling of missing component information for common composite score outcomes used in axial spondyloarthritis research when complete-case analysis is unbiased
Avtorji:ID Polysopoulos, Christos (Avtor)
ID Georgiadis, Stylianos (Avtor)
ID Midtbøll Ørnbjerg, Lykke (Avtor)
ID Scherer, Almut (Avtor)
ID Di Giuseppe, Daniela (Avtor)
ID Lund Hetland, Merete (Avtor)
ID Nissen, Michael John (Avtor)
ID Jones, Gareth T. (Avtor)
ID Glintborg, Bente (Avtor)
ID Gitte Loft, Anne (Avtor)
ID Perdan-Pirkmajer, Katja (Avtor)
ID Rotar, Žiga (Avtor), et al.
Datoteke:.pdf PDF - Predstavitvena datoteka, prenos (1,65 MB)
MD5: 7F9F2E28AD62152DC033804F26B104FC
 
URL URL - Izvorni URL, za dostop obiščite https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-025-02515-3
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo UKC LJ - Univerzitetni klinični center Ljubljana
Povzetek:Background: Observational data on composite scores often comes with missing component information. When a complete-case (CC) analysis of composite scores is unbiased, preferable approaches of dealing with missing component information should also be unbiased and provide a more precise estimate. We assessed the performance of several methods compared to CC analysis in estimating the means of common composite scores used in axial spondyloarthritis research. Methods: Individual mean imputation (IMI), the modified formula method (MF), overall mean imputation (OMI), and multiple imputation of missing component values (MI) were assessed either analytically or by means of simulations from available data collected across Europe. Their performance in estimating the means of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), the Bath Ankylosing Spondylitis Functional Index (BASFI), and the Ankylosing Spondylitis Disease Activity Score based on C-reactive protein (ASDAS-CRP) in cases where component information was set missing completely at random was compared to the CC approach based on bias, variance, and coverage. Results: Like the MF method, IMI uses a modified formula for observations with missing components resulting in modified composite scores. In the case of an unbiased CC approach, these two methods yielded representative samples of the distribution arising from a mixture of the original and modified composite scores, which, however, could not be considered the same as the distribution of the original score. The IMI and MF method are, thus, intrinsically biased. OMI provided an unbiased mean but displayed a complex dependence structure among observations that, if not accounted for, resulted in severe coverage issues. MI improved precision compared to CC and gave unbiased means and proper coverage as long as the extent of missingness was not too large. Conclusions: MI of missing component values was the only method found successful in retaining CC's unbiasedness and in providing increased precision for estimating the means of BASDAI, BASFI, and ASDAS-CRP. However, since MI is susceptible to incorrect implementation and its performance may become questionable with increasing missingness, we consider the implementation of an error-free CC approach a valid and valuable option.
Ključne besede:axial spondyloarthritis, complete-case analysis, composite score, missing components, multiple imputation, aksialni spondiloartritis, analiza celotnega primera, sestavljena ocena, manjkajoče komponente, večkratna imputacija
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:str. 1-16
Številčenje:Vol. 25, no. 1, [article no.] 55
PID:20.500.12556/DiRROS-27871 Novo okno
UDK:616-002
ISSN pri članku:1471-2288
DOI:10.1186/s12874-025-02515-3 Novo okno
COBISS.SI-ID:229878275 Novo okno
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 21. 3. 2025;
Datum objave v DiRROS:26.02.2026
Število ogledov:125
Število prenosov:54
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:BMC medical research methodology
Skrajšan naslov:BMC Med Res Methodol
Založnik:BioMed Central
ISSN:1471-2288
COBISS.SI-ID:2441236 Novo okno

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Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
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