ArticlePloS one2022
Data integration of National Dose Registry and survey data using multivariate imputation by chained equations.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Association of metabolic and inflammation vulnerabilities with systemic lupus erythematosus: a prospective UK Biobank study.Frontiers in immunology · 2026Article
- Confounding Effects of Lifestyle Factors in Cancer Risk Estimation for Occupational Radiation Exposure.Safety and health at work · 2025Article
- Circulatory disease mortality among male medical radiation workers in South Korea, 1996-2019.Scandinavian journal of work, environment & health · 2023Article
- Correction: Data integration of National Dose Registry and survey data using multivariate imputation by chained equations.PloS one · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionData integration is the process of merging information from multiple datasets generated from different sources, which can obtain more information in comparison to to one data source. All diagnostic medical radiation workers were enrolled in National Dose Registry (NDR) from 1996 to 2011, linked with mortality and cancer registry data. (https://kdca.go.kr/) Survey was conducted during 2012-2013 using self-reported questionnaire on occupational radiation practices among diagnostic medical radiation workers.
methodsData integration of NDR and Survey was performed using the multivariate imputation by chained equations (MICE) algorithm.
resultsThe results were compared by sex and type of job because characteristics of target variables for imputation depend on these variables. There was a difference between the observed and pooled mean for the frequency of interventional therapy for nurses due to different type of medical facility distribution between observed and completed data. Concerning the marital status of males and females, and status of pregnancy for females, there was a difference between observed and pooled mean because the distribution of the year of birth was different between the observed and completed data. For lifetime status of smoking, the percentage of smoking experience was higher in the completed data than in the observed data, which could be due to reasons, such as underreporting among females and the distribution difference in the frequency of drinking between the observed and completed data for males.
conclusionData integration can allow us to obtain survey information of NDR units without additional surveys, saving us time and costs for the survey.
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Registered trials
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.