IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v35y2015i3p381-384.html
   My bibliography  Save this article

Response to Commentary by Fann et al. on “Enhancing the Characterization of Epistemic Uncertainties in PM2.5 Risk Analyses”

Author

Listed:
  • Anne E. Smith

Abstract

No abstract is available for this item.

Suggested Citation

  • Anne E. Smith, 2015. "Response to Commentary by Fann et al. on “Enhancing the Characterization of Epistemic Uncertainties in PM2.5 Risk Analyses”," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 381-384, March.
    • Handle: RePEc:wly:riskan:v:35:y:2015:i:3:p:381-384
    DOI: 10.1111/risa.12388
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12388
    Download Restriction: no
    File URL: https://libkey.io/10.1111/risa.12388?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. M. Brauer & J. Brumm & S. Vedal & A. J. Petkau, 2002. "Exposure Misclassification and Threshold Concentrations in Time Series Analyses of Air Pollution Health Effects," Risk Analysis, John Wiley & Sons, vol. 22(6), pages 1183-1193, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anne E. Smith, 2018. "Setting Air Quality Standards for PM2.5: A Role for Subjective Uncertainty in NAAQS Quantitative Risk Assessments?," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2318-2339, November.
    2. Garrett Glasgow & Bharat Ramkrishnan & Anne E Smith, 2022. "A simulation-based assessment of the ability to detect thresholds in chronic risk concentration-response functions in the presence of exposure measurement error," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-17, March.
    3. Suresh H. Moolgavkar & Ellen T. Chang & Heather N. Watson & Edmund C. Lau, 2018. "An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 777-794, April.
    4. Yuheng Wu & Lin Zhang & Jilong Wang & Yi Mou, 2021. "Communicating Air Quality Index Information: Effects of Different Styles on Individuals’ Risk Perception and Precaution Intention," IJERPH, MDPI, vol. 18(19), pages 1-15, October.
    5. Anne E. Smith, 2016. "Inconsistencies in Risk Analyses for Ambient Air Pollutant Regulations," Risk Analysis, John Wiley & Sons, vol. 36(9), pages 1737-1744, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:35:y:2015:i:3:p:381-384. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.