Rat Toxicology Simulation Data on Virtual vs. Concurrent Control Agreement

Supplementary file 1_Analysis of rat toxicology studies presents simulation results comparing virtual control groups (VCGs) to concurrent control groups (CCGs) for detecting treatment effects on liver enzymes and bodyweight. The dataset, authored by Guillemette Duchateau-Nguyen and last updated in April 2026, contains results from 100 VCGs generated per reanalyzed study to assess statistical agreement.

Use Cases

• Assessing the feasibility of virtual control groups in toxicology based on the described simulation of liver enzyme activity.
• Comparing statistical methods for detecting treatment effects based on the described evaluation of effect size calculations.
• Investigating bias and agreement in preclinical research based on the described analysis of partial and full control group replacement.

Strengths

• Results are based on a simulation generating 100 virtual control groups for each reanalyzed study.
• The analysis reports specific agreement metrics, including 46.9% full agreement and 2.6% full disagreement between control types.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a 4.8 MB DOCX file, which may require conversion for programmatic analysis.

Provenance

Source

Guillemette Duchateau-Nguyen via figshare.

Collection Method

Simulation comparing liver enzyme activity in studies using virtual and concurrent control groups, with VCGs generated by matching to a large-scale historical dataset.

Time Range

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Freshness

Last updated 2026-04 07:30:24; freshness should be verified.

Geography

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