Logistic Regression Analysis for Impaired SLST in CLD and DM Patients

Kenichi Fudeyasu's dataset contains logistic regression analysis results for impaired Single Leg Stance Test (SLST) performance among 118 patients with Chronic Liver Disease (CLD) and Diabetes Mellitus (DM). The data is stored in an XLS file and focuses on factors associated with SLST scores below 5 seconds. It is a small, specialized dataset for clinical research.

Use Cases

• Perform logistic regression to identify predictors of impaired SLST (< 5 s) among the 118 CLD and DM patients.
• Analyze the association between Chronic Liver Disease status and Single Leg Stance Test outcomes.
• Examine the relationship between Diabetes Mellitus diagnosis and the likelihood of an SLST score under 5 seconds.

Strengths

• Dataset contains analysis for a specific clinical cohort of 118 patients.
• Focuses on a defined outcome measure: impaired SLST performance (< 5 seconds).
• Includes logistic regression results, providing a model for binary outcome prediction.

Limitations

• Very small sample size of 118 patients limits statistical power and generalizability.
• Specific columns and raw data values are not described, restricting detailed analysis.
• The 5.5 KB file size indicates a very limited scope, likely containing only summary statistics.

Provenance

Source

Kenichi Fudeyasu via figshare.

Collection Method

Clinical study analysis, likely from patient assessments.

Freshness

Last updated on 2026-03-24.