README.md

In k-t-to/gravee: Good Risk Assessment Values for Environmental Exposures

GRAVEE: Good Risk Assessment Values for Environmental Exposures

Estimating Point of Departure (POD) from dose-response data using spline meta-regression

GRAVEE is a method for estimating a chemical's Point of Departure (POD) based on quantitative dose-response data.

Input Data

The input data should be a data frame with two columns, ordered as dose and response. Doses should not be transformed prior to upload. The values must be numeric.

Example: | Dose | Response | | --------- | --------- | | 1 | 1.4 | | 1 | 0.28 | | 1 | 0.9 | | 5 | 8.32 | | 5 | 8.6 | | 5 | 7 | | 10 | 10.2 | | 10 | 9.45 | |...|...|

Analysis

All analyses are performed using log10-transformed doses.Results are reported on the original dose scale.

The core function of this package is calculate_pod_quantiles(). GRAVEE simulates new samples of dose-response data using bootstrap resampling. Each simulated sample is fit to a dose-response curve using spline meta-regression. Menger Curvature is calculated along the interpolated doses of the fitted dose-response curve and the POD is reported as the dose with the maximal curvature. GRAVEE reports a 95% confidence interval of PODs using the calculated PODs from each simulated sample.

License

This work was created by US government employees working in their government capacity. As a result, this work is in the public domain within the United States. The US Government may exercise copyright in other jurisdictions.

Contact

Kim T. To - [e-mail]

Lyle Burgoon - [e-mail]

k-t-to/gravee documentation built on March 26, 2021, 3:10 a.m.