Missing Data Proportions by Age Group for a Carotid Intima-Media Thickness Meta-Analysis

6.8 KB supplementary Excel file from a machine-learning informed meta-analysis on ferritin and transferrin predicting carotid intima-media thickness. The table, authored by Anand Ruban Agarvas, provides a breakdown of missing value proportions for each study variable categorized by age group. It was last updated on 2026-04-28.

Use Cases

• Assess data completeness for variables used in a cardiovascular meta-analysis based on the missing value proportions.
• Inform imputation strategy selection for machine learning models based on the age-stratified missingness patterns.
• Evaluate potential age-related bias in variable availability for the underlying individual participant data.

Strengths

• File size is 6.8 KB, indicating a focused and manageable supplementary table.
• Provides specific missing value proportions for variables, a key metric for data quality assessment.
• Data is categorized by age group, allowing for stratified analysis of missingness.

Limitations

• Row count and column definitions are unknown, limiting detailed suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, from the study 'Ferritin and transferrin predict common carotid intima-media thickness in females: a machine-learning informed individual participant data meta-analysis'.

Collection Method

Derived from an individual participant data meta-analysis.

Time Range

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Freshness

Last updated 2026-04-28 04:02:37; freshness should be verified.

Geography

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