Statistical Simulation of Missing Data Effects in Clinical Trials

5.5 KB of simulation results on the specificity of 3-sigma statistically significant lnCVR under conditions of randomization and extreme MNAR dropout (0–50%). The dataset was authored by Philippe P. Hujoel and last updated on April 15, 2026.

Use Cases

• Evaluate statistical specificity under MNAR dropout conditions based on the described simulation scenario.
• Analyze the relationship between sample size per trial arm and test specificity based on the title's focus.
• Benchmark statistical methods for handling extreme missing data (0–50%) in randomized trials.
• Validate power calculations for clinical trials with non-random attrition.

Strengths

• File size is precisely 5.5 KB, indicating a compact, focused dataset.
• The simulation scenario is clearly defined, focusing on 3-sigma significance and MNAR dropout from 0–50%.

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

figshare

Collection Method

Likely generated via statistical simulation.

Freshness

Last updated 2026-04-15 17:45:09; freshness should be verified.