Ki-67 Biomarker Expression Logistic Regression Analyses

Logistic regression analyses identify factors associated with high expression of the Ki-67 cell proliferation biomarker. The dataset is a single 9.5 KB Excel file containing statistical results. It was authored by Joaquim Musamba and last updated in April 2026.

Use Cases

• Identify significant predictors of high Ki-67 expression from the univariable regression results.
• Build a predictive model for Ki-67 status using the multivariable regression coefficients.
• Analyze the odds ratios and confidence intervals for factors like patient age or tumor grade.
• Validate statistical findings on Ki-67 expression against independent clinical datasets.
• Compare the effect sizes of different variables included in the logistic regression models.

Strengths

• Dataset is openly licensed under CC-BY-4.0 for reuse.
• File is small (9.5 KB) and easily accessible in XLS format.
• Analysis focuses on a specific, clinically relevant biomarker (Ki-67).

Limitations

• Extremely limited scope with only 9.5 KB of data, likely containing summary statistics rather than raw patient records.
• Unknown sample size (rows) and specific variables (columns) used in the analyses.
• Potential for geographic or demographic bias in the underlying patient cohort is not described.

Provenance

Source

figshare, authored by Joaquim Musamba.

Collection Method

Presumably derived from a clinical or research study analyzing patient data, but the original data collection method is unspecified.

Freshness

Last updated in April 2026.