Welcome to CDC stacks | Dose-response analysis in animal studies: prediction of human responses. - 30781 | CDC Public Access
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
 
 
Help
Clear All Simple Search
Advanced Search
Dose-response analysis in animal studies: prediction of human responses.
  • Published Date:
    Dec 1981
  • Source:
    Environ Health Perspect. 42:9-13.
Filetype[PDF-654.23 KB]


Details:
No Related Documents.
You May Also Like:
  1. Systems Biology and Biomarkers of Early Effects for Occupational Exposure Limit Setting
    Personal Author:
    DeBord, D. Gayle; Burgoon, Lyle; Edwards, Stephen W.; Haber, Lynne T.; Kanitz, M. Helen; Kuempel, Eileen; Thomas, Russell S.; Yucesoy, Berran;
    Published:
    2015
    Source:
    J Occup Environ Hyg. 12(0):S41-S54
    Description:
    In a recent National Research Council document, new strategies for risk assessment were described to enable more accurate and quicker assessments. This report suggested that evaluating individual responses through increased use of bio-monitoring coul...
    File Type:
    Filetype[PDF - 454.66 KB]
  2. The LLNA: A Brief Review of Recent Advances and Limitations
    Personal Author:
    Anderson, Stacey E.; Siegel, Paul D.; Meade, B. J.;
    Published:
    Jun 16 2011
    Source:
    J Allergy (Cairo). 2011; 2011.
    Description:
    Allergic contact dermatitis is the second most commonly reported occupational illness, accounting for 10% to 15% of all occupational diseases. This highlights the importance of developing rapid and sensitive methods for hazard identification of chemi...
    File Type:
    Filetype[PDF - 564.65 KB]
  3. Biological Networks for Predicting Chemical Hepatocarcinogenicity Using Gene Expression Data from Treated Mice and Relevance across Human and Rat Species
    Personal Author:
    Thomas, Reuben; Thomas, Russell S.; Auerbach, Scott S.; Portier, Christopher J.;
    Published:
    May 30 2013
    Source:
    PLoS One. 2013; 8(5).
    Description:
    Background : Several groups have employed genomic data from subchronic chemical toxicity studies in rodents (90 days) to derive gene-centric predictors of chronic toxicity and carcinogenicity. Genes are annotated to belong to biological processes or ...
    File Type:
    Filetype[PDF - 380.36 KB]
  4. An empirical comparison of low-dose extrapolation from points of departure (PoD) compared to extrapolations based upon methods that account for model uncertainty
    Personal Author:
    Wheeler, Matthew W.; Bailer, A. John;
    Published:
    Jul 04 2013
    Source:
    Regul Toxicol Pharmacol. 67(1):75-82.
    Description:
    Experiments with relatively high doses are often used to predict risks at appreciably lower doses. A point of departure (PoD) can be calculated as the dose associated with a specified moderate response level that is often in the range of experimental...
    File Type:
    Filetype[PDF - 568.04 KB]
  5. The Next Generation of Risk Assessment Multi-Year Study—Highlights of Findings, Applications to Risk Assessment, and Future Directions
    Personal Author:
    Cote, Ila; Andersen, Melvin E.; Ankley, Gerald T.; Barone, Stanley; Birnbaum, Linda S.; Boekelheide, Kim; Bois, Frederic Y.; Burgoon, Lyle D.; Chiu, Weihsueh A.; Crawford-Brown, Douglas; Crofton, Kevin M.; DeVito, Michael; Devlin, Robert B.; Edwards, Stephen W.; Guyton, Kathryn Z.; Hattis, Dale; Judson, Richard S.; Knight, Derek; Krewski, Daniel; Lambert, Jason; Maull, Elizabeth Anne; Mendrick, Donna; Paoli, Gregory M.; Patel, Chirag Jagdish; Perkins, Edward J.; Poje, Gerald; Portier, Christopher J.; Rusyn, Ivan; Schulte, Paul A.; Simeonov, Anton; Smith, Martyn T.; Thayer, Kristina A.; Thomas, Russell S.; Thomas, Reuben; Tice, Raymond R.; Vandenberg, John J.; Villeneuve, Daniel L.; Wesselkamper, Scott; Whelan, Maurice; Whittaker, Christine; White, Ronald; Xia, Menghang; Yauk, Carole; Zeise, Lauren; Zhao, Jay; DeWoskin, Robert S.;
    Published:
    Apr 19 2016
    Source:
    Environ Health Perspect. 124(11):1671-1682.
    Description:
    Background: : The Next Generation (NexGen) of Risk Assessment effort is a multi-year collaboration among several organizations evaluating new, potentially more efficient molecular, computational, and systems biology approaches to risk assessment. Thi...
    File Type:
    Filetype[PDF - 340.00 KB]