GLMM Results for Plasmid Counts in 86 Bacterial Isolates

Sabrina Hepner's statistical results from a study of 86 bacterial isolates, uploaded to figshare on 2026-05-08. The dataset contains the outputs of Generalized Linear Mixed Models (GLMMs) run to test interactions between host associations, vector associations, and human pathogenicity groups and total, circular, and linear plasmid counts.

Use Cases

• Analyzing the relationship between host type and plasmid count based on the described GLMM results
• Investigating the statistical interaction between vector associations and plasmid linearity mentioned in the description
• Modeling the effect of human pathogenicity groups on total plasmid numbers as tested in the study

Strengths

• Results are derived from a specific study of 86 bacterial isolates, providing a concrete sample size.
• Model outputs include mean estimates and 95% credible intervals based on 10,000 simulations, indicating a detailed statistical analysis.
• Data is shared under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

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 very small at 11.4 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Statistical modeling outputs from a research study, generated using the R packages lme4 and arm.

Time Range

Publication date 2026-05-08; temporal coverage of the underlying study is unknown.

Freshness

Last updated 2026-05-08 18:00:11; freshness should be verified.

Geography

Geographic coverage of the 86 bacterial isolates is unknown.