Benchmark Dose Software (BMDS) - Version 3.0
The purpose of BMDS is to estimate the dose or exposure of a chemical or chemical mixture associated with a given response level, to facilitate hazardous pollutant risk assessments. Its intended audience is EPA risk assessors.
BMDS 3.0 is a major re-design of BMDS, containing substantial model code and interface enhancements reflecting nearly two decades of experience and feedback on the needs of risk assessors with respect to benchmark dose modeling.
The BMDS 3.0 application and software components are the result of a close collaborative effort between EPA and the National Institute for Occupational Safety and Health (NIOSH). The goal of the collaboration was to meet current dose-response needs of chemical risk assessors and introduce state-of-the-science dose-response methods such as Bayesian analysis and model averaging.
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- New Interface Implemented via Microsoft Excel
- New State-of-the-Science Modeling Methods
- Models Not Included in BMDS 3.0
BMDS 3.0 moves away from its former application-based platform to one implemented within Microsoft Excel 2016, with modeling computations performed in custom-programmed 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
- Facilitates use of EPA methods and guidance
- 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
The BMDS 3.0 "application" can be thought of as a pair of Excel workbooks: an Analysis Workbook and a Results workbook.
Datasets, modeling, and reporting options for an analysis are entered in the BMDS 3.0 Analysis Workbook. Users can specify modeling options from intuitive forms and picklists. All calculations are performed within the Analysis Workbook.
- Multiple dichotomous
- Combined tumor
- Nested dichotomous
- Continuous response
- study (e.g., for chemicals with a large database of studies)
- chemical (e.g., for chemicals that are not well-studied)
- health outcome (e.g., for chemicals with health outcomes that have been assessed in multiple studies and/or by multiple response measures)
All datasets, modeling, and reporting options entered in the BMDS 3.0 Analysis Workbook can be saved and retrieved at any time prior to or after modeling.
When modeling is performed, all model results are recorded in a separate Results Workbook for each dataset analyzed.
All of the options used in the analysis are saved in each Results Workbook so they can be re-initiated. So if you want to, for example, rerun the analysis with different options, you can use the Results Workbook to re-initiate the analysis in the Analysis Workbook.
New State-of-the-Science Modeling Methods
NOTE: At this time, EPA does not offer technical guidance on Bayesian modeling or Bayesian model averaging.
- 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.
- Dichotomous background dose models
- Rai and Van Ryzin nested dichotomous model
- Toxicodiffusion model
- ten Berge model, which has been superseded by EPA’s categorical regression software CatReg; CatReg has the same functionality but with added features and options
These models are not maintained or supported by EPA at this time, but can be accessed in BMDS 2.7. BMDS 2.7 is no longer maintained or supported, but BMDS 2.7 materials are available for historic or research purposes.