An official website of the United States government.

We've made some changes to EPA.gov. If the information you are looking for is not here, you may be able to find it on the EPA Web Archive or the January 19, 2017 Web Snapshot.

Benchmark Dose Tools

Benchmark Dose Software (BMDS) Version 3 Release History

Be notified of fixes and enhancements to BMDS. 

Please use our online form to report a bug, ask a support question, or suggest an enhancement or improvement.

On this page

3.1

Released February 2019

BMDS 3.0 message box for running models

  • Numerous programmatic improvements and enhancements:
    • Fixed an issue with Akaike Informaton Criterion (AIC) derivation for continuous response models
    • Fixed issue where "Added Risk" and BMRF=0.001 caused slow performance for Dichotomous Hill and Bayesian MA models
    • Fixed issue with Test 3 and Individual Response Analysis for continuous models
    • Fixed issue with continuous models Likelihood of Interest reporting incorrect number of parameters
    • Fixed issue with continous models Test of Interest and p-values
    • Fixed a problem with running BMDS from a network drive
    • Fixed the Weibull model default parameter values and priors
    • Fixed miscellaneous issues with the nested logistic model
    • Fixed intermittent crashes with the Polynomial, Multistage and other models
    • Resolved a problem with A3 and R log-likelihood values, which are used to measure goodness-of-fit
    • Minor improvements

Top of Page

3.0

Released September 30, 2018. 

  • Implemented in Microsoft Excel, with modeling computations performed in custom DLLs.
  • Fast analysis of multiple datasets and options
  • Enables users to see and specify modeling options in a single worksheet
  • Flexible documentation and report generation
  • Includes auto-selection features for identifying the “best” results in accordance with EPA recommendations or user-defined logic
  • Documents all inputs and outputs in a single results workbook for each dataset modeled
  • Provides flexible print options for displaying results in Microsoft Word tables formatted in a manner suitable for presentation in a risk assessment
  • Backwards compatible with prior BMDS versions
  • Bayesian versions of all traditional frequentist dichotomous models
  • Bayesian model averaging using all or weighted dichotomous models
  • Hybrid approach added to all continuous models
  • Lognormal response distribution added for all continuous models
  • ​All existing models have been re-coded to facilitate their maintenance and improve their performance in terms of stability, accuracy, reliability, and speed.

Top of Page