Shuhong Zheng's supplementary analysis of covariance (ANCOVA) results, published on figshare in April 2026. The 12.2 KB XLSX file contains statistical outputs from a model adjusting post-intervention Fugl-Meyer Assessment (FMA) scores for baseline scores. The analysis found a significant between-group difference for upper-extremity scores (F=9.901, p=0.003) but not for lower-extremity scores (F=3.299, p=0.076).
Use Cases
- Replicate statistical analysis for a clinical trial based on the described ANCOVA model.
- Assess the influence of baseline motor function on post-intervention outcomes based on the reported F and p-values.
- Compare treatment group effects after covariate adjustment based on the results for upper and lower extremities.
Strengths
- Specific statistical results are provided, including F-values (9.901, 3.299) and p-values (0.003, 0.076).
- Dataset is openly licensed under CC-BY-4.0.
- File format is a standard, machine-readable XLSX.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Shuhong Zheng via figshare.
- Collection Method
- Statistical analysis (ANCOVA) performed on clinical trial data.
- Time Range
- null
- Freshness
- Last updated 2026-04-24 17:33:22; freshness should be verified.
- Geography
- null