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Method Case Studies
 Data Fusion
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Review and application of data fusion methodologies for toxicological dataset analysis to resolve data quality issues in predictive toxicology and contaminated sites risk assessment.
Mohapatra A.K., Sadiq R., Zargar A., Islam S., Dyck R.
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This continuum of effects is potentially associated with any exposure to xenobiotics and reflects a sequence of effects of differing severity. From least to most severe this continuum includes:
–Adaptive effects,
–Compensatory effects,
–Critical effect,
–Adverse effects, and
–Frank effects.
This continuum starts at low dose with upstream indicators of change, or adaptive effects, where the organism’s ability to withstand a challenge is enhanced. Doses associated with such effects are often referred to as No Observed Adverse Effect Levels (NOAELs). The concept of hormesis may also be relevant here.
- As dose increases, compensatory effects occur, which enable the organism to maintain overall function without further enhancement or significant cost. Doses associated with such effects are also often NOAELs. Some of these effects might be judged to be the critical effect.
- As dose further increases, the critical effect is reached. This is the first adverse effect, or its known precursor, that occurs to the most [relevant or] sensitive species as the dose rate of an agent increases. Note that the bracketed phrase “relevant or” is important since the most relevant specie is always preferred over the most sensitive specie (e.g., if data shows that the rat is more sensitive than the human, the human data are still preferred), but when such information is not available, data from the most sensitive specie are chosen. Also the term “precursor” in this definition is singular, meaning the immediate precursor, not just any prior effect. This restriction is important both because it ties the concept of critical effect into common medical practice and because the resulting dose response---such as an RfD---is more meaningful, since without the restriction any RfD can be estimated.* Doses associated with such effects are Lowest Observed Adverse Effect Levels (LOAELs). The highest NOAEL below this LOAEL is generally used in the dose response, and the focus is on determining this NOAEL in a sensitive population.
- As dose further increases, the critical effect is exceeded, and adverse effects are manifested as biochemical changes, functional impairments, or pathologic lesions. These progressively more severe effects impair the performance of the organism, and/or reduce its ability to respond to additional challenges. At some point these adverse effects become manifestly overt and irreversible, and frank effects or disease ensues.
*Many examples of appropriate use by different groups are found on International Toxicity Estimates for Risk (ITER) database available at http://toxnet.nlm.nih.gov. An example of where this was not done appropriately is the NAS perchlorate assessment (2005, page 111).
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Problem Formulation > In-Depth Assessment > Mode of Action Asessment |
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Method Case Studies
Sufficiency of MOA evidence/research MOAs - MOA/HRF/KEDRF Butadiene
 Butadiene Ovarian Case Study
- The Quantitative Human Health Risk Assessment for 1,3-Butadiene Based Upon Ovarian Effects in Rodents
Kirman C.R., Grant R.L.
 Butadiene Cancer Case Study
- Use of human data in cancer risk assessment of chemicals as illustrated by the case of 1,3-Butadiene
Albertini R., Sielken Jr. R.L.
 Ethanol Case Study
- Ethanol Case Study – Evaluating Human Dose-Response of Morbidity and Mortality from Hepatic Disease: Are the Predicted Risks from Low-Dose Linear Extrapolation to Environmentally Relevant Concentrations Biologically Plausible?
Becker R., Hays S.
 Low-Dose Evaluation for Genotoxicity
- Assessment of Low-Dose Dose-Response Relationships (Non-linear or Linear) for Genotoxicity, Focused on Induction of Mutations & Clastogenic Effects
Moore M., Pottenger L., Zeiger E., and Zhou T.
 Dioxin Case Study (Key Events Dose Response Framework)
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
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Problem Formulation > In-Depth Assessment > Vulnerable Populations
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Method Case Studies
 Human Kinetic Variability (Trichloroethylene)
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Consideration of Human Kinetic Variability
Lipscomb J.C., Teuschler L.K., Swartout J., Popken D., Cox T., Kedderis G.L.
 Kinetic Variability Based on PON1 Polymorphism (Integrated with PBPK Model) for Chlorpyrifos
- Quantitative Assessment of Sensitivity and Variability in Humans: Modeling the Effects of Low Dose Exposure to Dietary Residues of Chlorpyrifos
Juberg D.R., Price P.
 Sensitive Life Stages
 Lead Case Study
 Inter-Individual Variability in Cancer Susceptibility
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BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 Sensitive Disease State/Background Response
 Data Fusion
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Review and application of data fusion methodologies for toxicological dataset analysis to resolve data quality issues in predictive toxicology and contaminated sites risk assessment.
Mohapatra A.K., Sadiq R., Zargar A., Islam S., Dyck R.
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Problem Formulation > In-Depth Assessment > Background Exposure Assessment
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Method Case Studies
 Mixtures Guidance
- Case Study
- Case Study Summary
- Presentation Slides
 Cumulative Risk Guidance
- Case Study
- Case Study Summary
- Presentation Slides
 Biologically Based Dose Response for Formaldehyde to Address Endogenous
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BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 Biomonitoring Equivalents
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Risk Assessment of Exposure to Trihalomethane Drinking Water Disinfection By-Products. Use of Biomonitoring Equivalents and Biomonitoring Data from NHANES
Aylward L.L., Hays S.M., Kirman C.R., Becker RA
 Endogenous Processes or Adducts – 1,4-dioxane, Vinyl acetate, vinyl chloride, acetaldehyde
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Problem Formulation > In-Depth Assessment > Conceptual Model
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Method Case Studies
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• Conceptual model
• Data availability
• Risk management needs
for form of risk characterization
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- Conceptual Model 1
- Conceptual Model 2
- Conceptual Model 3
- Other
Nonlinear individual response, low-dose linear popopulation response with background dependence
 Dioxin case study - Key Events Dose Response Framework
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 Linear Low-Dose Extrapolation from BMD(L)
- Implications of Linear Low-Dose Extrapolation from Benchmark Dose for Noncancer Risk Assessment
Kroner O., Haber L.
Advisor: Dourson M.
 Biologically-Based Uncertainty Factor Distributions (Hattis approach)
Low-dose nonlinear individual and nonlinear population response; low-dose response independent of background – i.e., threshold.
 Dioxin case study - Key Events Dose Response Framework
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 Acute Exposure Guidelin Levels (AEGL) for Acute Exposures
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Apply AEGL Methodology to Develop Acute Exposure Guideline Levels for Ethylbenzene
Grant R., Erraguntla N., Hinz J., Camacho I.A.
 Safe Dose
Content 4
 Biomonitoring Equivalents
- Risk Assessment of Exposure to Trihalomethane Drinking Water Disinfection By-Products. Use of Biomonitoring Equivalents and Biomonitoring Data from NHANES
Aylward L.L., Hays S.M., Kirman C.R., Becker RA
 Acute RfC and related – ATSDR, OECD guidance
Content 5
Low-dose linear individual and linear population dose-response- i.e., a non-threshold response, slope factor most appropriate).
 Dioxin Case Study - Key Events Dose Response Framework
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 Ethanol Case Study
- Ethanol Case Study – Evaluating Human Dose-Response of Morbidity and Mortality from Hepatic Disease: Are the Predicted Risks from Low-Dose Linear Extrapolation to Environmentally Relevant Concentrations Biologically Plausible?
Becker R., Hays S.
 Slope Factor Calculation
Content 4
 Margin of Exposure
Content 2
 Lead Case Study
 Short-Term and Intermittent Exposures to Carcinogens – Methodology for Intermittent and Short-Term Exposure to Carcinogens (MISTEC)?
Content
 Data Fusion
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Review and application of data fusion methodologies for toxicological dataset analysis to resolve data quality issues in predictive toxicology and contaminated sites risk assessment.
Mohapatra A.K., Sadiq R., Zargar A., Islam S., Dyck R.
 Biologically-Informed Dose-Response Modeling
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Biologically-Informed Empirical Dose Response Modeling: Using Linked Cause-Effect Functions to Extend the Dose-Response Curve to Lower Doses (Titanium dioxide - TiO2)
Allen B., Maier A., Willis A., Haber L.T.
 Modeling Multi-Pronged MOA (acrylamide)
 Low-dose evaluation for genotoxicity
 Biologicaly Based Dose Repsonse
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BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 PBPK model (part of butadiene, TCE)
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Consideration of Human Kinetic Variability
Lipscomb J.C., Teuschler L.K., Swartout J., Popken D., Cox T., Kedderis G.L.
- Use of human data in cancer risk assessment of chemicals as illustrated by the case of 1,3-Butadiene
Albertini R., Sielken Jr. R.L.
 Categorical Regression
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Use of Categorical Regression – Risk Above the RfD
Danzeisen R., Krewski D., Chambers A., Baker S., Hertzberg R., and Haber L.
 Alternative Temporal Patterns
- Framework for Evaluating Alternative Temporal Patterns of Exposure for Risk Characterization
Maier A., Haber L., Haney J., Kaden D.A., Carrier R., Craft E., and Hertzberg R.
Advisor: Dourson, M.
 Risk-Risk Comparison (e.g., comparative carcinogenic and neurotoxic potencies of tetrachloroethylene and n-propyl bromide)
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Problem Formulation > In-Depth Assessment > Data Availability
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• Conceptual model
• Data availability
• Risk management needs
for form of risk characterization
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Method Case Studies
- High Data Requirements
- Moderate Data Requirements
- Small Data Requirments
 Dioxin Case Study - Key Events Dose-Response Framework
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 Biologically-Informed Dose-Response Modeling
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Biologically-Informed Empirical Dose Response Modeling: Using Linked Cause-Effect Functions to Extend the Dose-Response Curve to Lower Doses (Titanium dioxide - TiO2)
Allen B., Maier A., Willis A., Haber L.T.
 Modeling Multi-Pronged Mode of Action (MOA)(acrylamide)
 Low-Dose Evaluation for Genotoxicity
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Assessment of Low-Dose Dose-Response Relationships (Non-linear or Linear) for Genotoxicity, Focused on Induction of Mutations & Clastogenic Effects
Moore M., Pottenger L., Zeiger E., and Zhou T.
 Biologicaly Based Dose Repsonse
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BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 PBPK Model (part of butadiene, TCE)
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Consideration of Human Kinetic Variability
Lipscomb J.C., Teuschler L.K., Swartout J., Popken D., Cox T., Kedderis G.L.
- Use of human data in cancer risk assessment of chemicals as illustrated by the case of 1,3-Butadiene
Albertini R., Sielken Jr. R.L.
 Categorical Regression
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Use of Categorical Regression – Risk Above the RfD
Danzeisen R., Krewski D., Chambers A., Baker S., Hertzberg R., and Haber L.
 Lead Case Study
 Risk-Risk Comparison (e.g., comparative carcinogenic and neurotoxic potencies of tetrachloroethylene and n-propyl bromide)
 Data fusion
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Review and application of data fusion methodologies for toxicological dataset analysis to resolve data quality issues in predictive toxicology and contaminated sites risk assessment.
Mohapatra A.K., Sadiq R., Zargar A., Islam S., Dyck R.
 Ethanol Case Study
- Ethanol Case Study – Evaluating Human Dose-Response of Morbidity and Mortality from Hepatic Disease: Are the Predicted Risks from Low-Dose Linear Extrapolation to Environmentally Relevant Concentrations Biologically Plausible?
Becker R., Hays S.
 AEGL for acute exposure
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Apply AEGL Methodology to Develop Acute Exposure Guideline Levels for Ethylbenzene
Grant R., Erraguntla N., Hinz J., Camacho I.A.
 Alternative Temporal Patterns
- Framework for Evaluating Alternative Temporal Patterns of Exposure for Risk Characterization
Maier A., Haber L., Haney J., Kaden D.A., Carrier R., Craft E., and Hertzberg R.
Advisor: Dourson, M.
 Linear Low Dose Extrapolation from the BMD(L)
- Implications of Linear Low-Dose Extrapolation from Benchmark Dose for Noncancer Risk Assessment
Kroner O., Haber L.
Advisor: Dourson M.
 Safe Dose
- Case Study
- Case Study Summary
- Presentation Slides
 Slope Factor
- Case Study
- Case Study Summary
- Presentation Slides
 Margin of Exposure
- Case Study
- Case Study Summary
- Presentation Slides
 Acute RfC and related – ATSDR, OECD guidance
- Case Study
- Case Study Summary
- Presentation Slides
 Short-term and intermittent exposures to carcinogens – Methodology for Intermittent and Short-Term Exposure to Carcinogens (MISTEC)?
- Case Study
- Case Study Summary
- Presentation Slides
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Problem Formulation > In-Depth Assessment > Risk Management
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Method Case Studies
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• Conceptual model
• Data availability
• Risk management needs
for form of risk
characterization |
- Acute Exposure
- Chronic Exposure
- Other
 AEGL for Acute Exposures
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Apply AEGL Methodology to Develop Acute Exposure Guideline Levels for Ethylbenzene
Grant R., Erraguntla N., Hinz J., Camacho I.A.
 Biologically Informed Dose-Response Modeling
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Biologically-Informed Empirical Dose Response Modeling: Using Linked Cause-Effect Functions to Extend the Dose-Response Curve to Lower Doses (Titanium dioxide - TiO2)
Allen B., Maier A., Willis A., Haber L.T.
 Kinetic Variability Based on PON1 Polymorphism (integrated with PBPK model) for Chlorpyrifos
- Quantitative Assessment of Sensitivity and Variability in Humans: Modeling the Effects of Low Dose Exposure to Dietary Residues of Chlorpyrifos
Juberg D.R., Price P.
 Sensitive Life Stages
 Lead Case Study
 Inter-individual variability in cancer susceptibility
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BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 Sensitive disease state/background response
 Data Fusion
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Review and application of data fusion methodologies for toxicological dataset analysis to resolve data quality issues in predictive toxicology and contaminated sites risk assessment.
Mohapatra A.K., Sadiq R., Zargar A., Islam S., Dyck R.
 Dioxin Cas Study - Key Events Dose Response Framework
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 Biologically-Informed Dose-Response Modeling
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Biologically-Informed Empirical Dose Response Modeling: Using Linked Cause-Effect Functions to Extend the Dose-Response Curve to Lower Doses (Titanium dioxide - TiO2)
Allen B., Maier A., Willis A., Haber L.T.
 Modeling Multi-Pronged Mode of Action (MOA) (acrylamide)
 Low-Dose Evaluation for Genotoxicity
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Assessment of Low-Dose Dose-Response Relationships (Non-linear or Linear) for Genotoxicity, Focused on Induction of Mutations & Clastogenic Effects
Moore M., Pottenger L., Zeiger E., and Zhou T.
 Biologicaly Based Dose Repsonse
-
BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 PBPK model (part of butadiene, TCE)
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Consideration of Human Kinetic Variability
Lipscomb J.C., Teuschler L.K., Swartout J., Popken D., Cox T., Kedderis G.L.
- Use of human data in cancer risk assessment of chemicals as illustrated by the case of 1,3-Butadiene
Albertini R., Sielken Jr. R.L.
 Categorical Regression
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Use of Categorical Regression – Risk Above the RfD
Danzeisen R., Krewski D., Chambers A., Baker S., Hertzberg R., and Haber L.
 Ethanol Case Study
- Ethanol Case Study – Evaluating Human Dose-Response of Morbidity and Mortality from Hepatic Disease: Are the Predicted Risks from Low-Dose Linear Extrapolation to Environmentally Relevant Concentrations Biologically Plausible?
Becker R., Hays S.
 Low Dose Linear Extrapolation from BMD(L)
- Implications of Linear Low-Dose Extrapolation from Benchmark Dose for Noncancer Risk Assessment
Kroner O., Haber L.
Advisor: Dourson M.
 Margin of Exposure
- Case Study
- Case Study Summary
- Presentation Slides
 Safe Dose
- Case Study
- Case Study Summary
- Presentation Slides
 Biologically-based UF distributions (Hattis approach)
 Biomonitoring Equivalents
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Risk Assessment of Exposure to Trihalomethane Drinking Water Disinfection By-Products. Use of Biomonitoring Equivalents and Biomonitoring Data from NHANES
Aylward L.L., Hays S.M., Kirman C.R., Becker RA
 Lead Case Study
 Alternative Temporal Patterns
- Framework for Evaluating Alternative Temporal Patterns of Exposure for Risk Characterization
Maier A., Haber L., Haney J., Kaden D.A., Carrier R., Craft E., and Hertzberg R.
Advisor: Dourson, M.
 Data Fusion
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Review and application of data fusion methodologies for toxicological dataset analysis to resolve data quality issues in predictive toxicology and contaminated sites risk assessment.
Mohapatra A.K., Sadiq R., Zargar A., Islam S., Dyck R.
 Risk-risk comparison (e.g., comparative carcinogenic and neurotoxic potencies of tetrachloroethylene and n-propyl bromide)
 Occupational Populations
- Case Study
- Case Study Summary
- Presentation Slides
 Short-term and intermittent exposures to carcinogens – Methodology for Intermittent and Short-Term Exposure to Carcinogens (MISTEC)
- Case Study
- Case Study Summary
- Presentation Slides
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Problem Formulation > In-Depth Assessment > Results Reporting
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Method Case Studies
- Risk Characterization Guidance
- Safe Dose or Effect Level
- Slope or Risk per unit
- Risk Specific Dose
 Dioxin - Key Events Dose Response Framework
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 AEGL for Acute Exposure
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Apply AEGL Methodology to Develop Acute Exposure Guideline Levels for Ethylbenzene
Grant R., Erraguntla N., Hinz J., Camacho I.A.
 Safe Dose
- Case Study
- Case Study Summary
- Presentation Slides
 Biologically-Based Uncertainty Factor distributions (Hattis approach)
 Biomonitoring Equivalents
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Risk Assessment of Exposure to Trihalomethane Drinking Water Disinfection By-Products. Use of Biomonitoring Equivalents and Biomonitoring Data from NHANES
Aylward L.L., Hays S.M., Kirman C.R., Becker RA
 Acute RfC and related – ATSDR, OECD guidance
- Case Study
- Case Study Summary
- Presentation Slides
 Dioxin case study (Key Events Dose Response Framework)
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Application of National Research Council “Silverbook” Methodology for Dose Response Assessment of 2,3,7,8-Tetrachlorodibenzo(p)dioxin.
Simon T., Stephens M., Yang Y., Manning R.O., Budinsky R.A. and Rowlands J.C.
 Ethanol case study
- Ethanol Case Study – Evaluating Human Dose-Response of Morbidity and Mortality from Hepatic Disease: Are the Predicted Risks from Low-Dose Linear Extrapolation to Environmentally Relevant Concentrations Biologically Plausible?
Becker R., Hays S.
 Linear Low Dose Extrapolation from BMD(L)
- Implications of Linear Low-Dose Extrapolation from Benchmark Dose for Noncancer Risk Assessment
Kroner O., Haber L.
Advisor: Dourson M.
 Modeling multi-pronged MOA (acrylamide)
 Slope factor calculation
- Case Study
- Case Study Summary
- Presentation Slides
 Margin of Exposure
- Case Study
- Case Study Summary
- Presentation Slides
 Lead Case Study
 Short-term and intermittent exposures to carcinogens – Methodology for Intermittent and Short-Term Exposure to Carcinogens (MISTEC)
- Case Study
- Case Study Summary
- Presentation Slides
 Biologically-Informed Dose-Response Modeling
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Biologically-Informed Empirical Dose Response Modeling: Using Linked Cause-Effect Functions to Extend the Dose-Response Curve to Lower Doses (Titanium dioxide - TiO2)
Allen B., Maier A., Willis A., Haber L.T.
 Biologically-Based Dose-Response
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BBDR model for respiratory tract carcinogenicity of inhaled formaldehyde
Allen B., Clewell H., Conolly R., Haney J., Kester J.
 Categorical Regression
-
Use of Categorical Regression – Risk Above the RfD
Danzeisen R., Krewski D., Chambers A., Baker S., Hertzberg R., and Haber L.
 Risk-risk comparison (e.g., comparative carcinogenic and neurotoxic potencies of tetrachloroethylene and n-propyl bromide)
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