Variable Missingness by Cohort: CXR/NLP and ECG Sub-Analysis

A 5.4 KB Excel file by Alejandro Hernández-Arango, last updated April 30, 2026. It details the percentage of missing values per variable for two clinical cohorts. The data covers Cohort A, a CXR/NLP analytic cohort of 121 individuals, and Cohort B, an ECG sub-analysis subset of 27 individuals.

Use Cases

• Identify variables with high missingness for potential exclusion based on the reported >20% threshold.
• Compare data completeness between a primary cohort and a specialized sub-cohort.
• Inform imputation strategy selection by quantifying missingness for specific variables like img_total_ratio and HRV_LF.
• Assess the impact of subset selection on data availability, as shown by the 27/121 ECG subset.

Strengths

• Provides specific missingness percentages for two defined cohorts (Cohort A n=121, Cohort B n=27).
• Highlights variables with >20% missingness, including img_total_ratio (89.3% in Cohort A) and HRV_LF (11.1% in Cohort B).
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (5.4 KB), indicating limited scope and likely a summary table rather than raw patient data.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-04-30 17:49:43; freshness should be verified.