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Multiple imputation for missing values in ordinal variables from cancer registry data when performing Cox proportional hazards regression

Abstract Background Scientists working with cancer registry data are often confronted with large proportions of missing values in ordinal variables, such as tumor stage, grading or the general health status (ECOG-PS scored 0 to 5). Despite the long-standing issue, research on handling missing ordina...

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Principais autores: Anika Kästner, Wolfgang Hoffmann, Johannes Hüsing, Andreas Stang, Anika Hüsing
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2026-02-01
Serier:BMC Medical Research Methodology
Fag:
Imputation
Registries
Missing data
Survival analysis
Neoplasms
Online adgang:https://doi.org/10.1186/s12874-026-02790-8
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