Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset

This integrated structure will enable researchers to select the most suitable imputation method based on the specific characteristics and conditions of the dataset under investigation. By employing the appropriate imputation method, the study aims to enhance the overall quality and trustworthiness of the analytical outcomes derived from the research dataset.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-02-20
DOI
https://doi.org/10.1186/s12874-025-02496-3
Citations
5
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
13.15
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article

Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset

Marziyeh Afkanpour, Diyana Tehrany Dehkordy, Mehri Momeni, Hamed Tabesh
5 citations
BMC Medical Research Methodology
Statistical Methods and Bayesian Inference
13.15
article

Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset

Marziyeh Afkanpour, Diyana Tehrany Dehkordy, Mehri Momeni, Hamed Tabesh
article en
5 citations

Abstract

This integrated structure will enable researchers to select the most suitable imputation method based on the specific characteristics and conditions of the dataset under investigation. By employing the appropriate imputation method, the study aims to enhance the overall quality and trustworthiness of the analytical outcomes derived from the research dataset.

BMC Medical Research MethodologyVol. 25(1)
Mashhad University of Medical Sciences (IR)
Openalex Percentile: Top 1%
Statistical Methods and Bayesian Inference
13.15
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