Gelman-Rubin Diagnostic and Credible Intervals for a Neonatal Mortality Model

A 9.5 KB Excel file containing Gelman-Rubin diagnostic values and 95% upper credible intervals for model parameters. The data was authored by George Bamwebaze and last updated on March 19, 2026. It appears to be derived from a spatiotemporal model, likely using a Kalman filtering technique, related to neonatal mortality in Uganda.

Use Cases

• Assessing Markov chain Monte Carlo (MCMC) convergence based on the Gelman-Rubin diagnostic values.
• Evaluating parameter uncertainty based on the reported 95% upper credible intervals.
• Benchmarking diagnostic outputs for spatiotemporal models mentioned in the description.
• Validating model formulations for forecasting neonatal mortality, as suggested by the platform tags.

Strengths

• File size is 9.5 KB, making it quick to download and inspect.
• Data is shared under a permissive CC-BY-4.0 license.
• Last update timestamp is precisely recorded as 2026-03-19 17:42:41.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

George Bamwebaze via figshare

Collection Method

Likely generated as diagnostic output from a statistical model.

Freshness

Last updated 2026-03-19 17:42:41; freshness should be verified.

Geography

Platform tags suggest a potential link to Uganda.