Antenatal Care Model Selection Metrics for Bangladesh

Statistical model selection results for antenatal care count data in Bangladesh, based on Akaike and Bayesian Information Criteria. The dataset was published by researcher Md. Muddasir Hossain Akib on the figshare platform. It was last updated in April 2026.

Use Cases

• Compare AIC and BIC values to select the best-fitting model for antenatal care visit counts.
• Analyze model performance metrics to understand factors influencing SANC service uptake in Bangladesh.
• Replicate or validate the statistical model selection process for count data in maternal health research.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Provides specific model selection criteria (AIC/BIC) for a defined health indicator.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope.
• No column names, sample data, or row count are provided, limiting reproducibility.
• Geographic coverage is restricted to Bangladesh.

Provenance

Source

Md. Muddasir Hossain Akib via figshare.

Collection Method

Analysis of antenatal care count data, method unspecified.

Freshness

Last updated in 2026.

Geography

Bangladesh