Studywise Missing Data Proportions for a Carotid Intima-Media Thickness Meta-Analysis

Supplementary Table 7 from a 2026 machine-learning meta-analysis on carotid artery health. This 15.3 KB Excel file, authored by Anand Ruban Agarvas, provides a studywise breakdown of missing value proportions for variables used in the analysis. The dataset is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Assess data quality and completeness across studies based on reported missing value proportions.
• Inform imputation strategy selection for meta-analysis based on variable-specific missingness.
• Identify potential sources of bias in aggregated results based on patterns of missing data.

Strengths

• File size is precisely 15.3 KB, indicating a focused and manageable dataset.
• License is explicitly CC-BY-4.0, permitting open reuse with attribution.
• Dataset is a direct supplementary material from a published 2026 meta-analysis.

Limitations

• Row count and specific column names are unknown, limiting pre-download assessment of structure.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, as supplementary material for a specific research publication.

Collection Method

Likely compiled from individual participant data contributed by multiple studies for the meta-analysis.

Time Range

Publication date suggests underlying studies were conducted prior to 2026.

Freshness

Last updated 2026-04-28 04:02:36; freshness should be verified.

Geography

null