COVID-19 Therapy RCT Data-Driven Prior Probability Distributions

5.5 KB of Excel-based prior probability distributions derived from other randomized controlled trials. Mazin Abdelghany published this statistical resource on figshare in April 2026. The distributions represent data on therapies for COVID-19-related hospitalizations or all-cause death.

Use Cases

• Construct Bayesian priors for new COVID-19 therapy trials based on aggregated RCT data.
• Inform meta-analyses of treatment effects for hospitalizations or mortality.
• Benchmark the performance of new therapies against historical trial data distributions.

Strengths

• Data is derived from randomized controlled trials (RCTs), a gold-standard source.
• File size is 5.5 KB, indicating a compact, focused statistical resource.
• Released under a CC-BY-4.0 license, allowing for open reuse and modification.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data structure requires manual inspection after download.
• Data may reflect temporal bias inherent to the source RCTs conducted during the COVID-19 pandemic.

Provenance

Source

figshare

Collection Method

Derived from data collected in other RCTs.

Freshness

Last updated 2026-04-16 17:50:36; freshness should be verified.