[Home ] [Archive]    
Main Menu
Journal Information::
Home::
Archive::
For Authors::
For Reviewers::
Principles of Transparency::
Contact us::
::
Search in website

Advanced Search
..
Committed to

AWT IMAGE

Attribution-NonCommercial
CC BY-NC


AWT IMAGE

Open Access Publishing


AWT IMAGE

Prevent Plagiarism

..
Registered in


..
Statistics
Journal volumes: 17
Journal issues: 34
Articles views: 645775
Articles downloads: 299456

Total authors: 581
Unique authors: 422
Repeated authors: 159
Repeated authors percent: 27

Submitted articles: 368
Accepted articles: 266
Rejected articles: 25
Published articles: 219

Acceptance rate: 72.28
Rejection rate: 6.79

Average Time to Accept: 282 days
Average Time to First Review: 27.2 days
Average Time to Publish: 26.1 days

Last 3 years statistics:
Submitted articles: 77
Accepted articles: 52
Rejected articles: 12
Published articles: 24

Acceptance rate: 67.53
Rejection rate: 15.58

Average Time to Accept: 201 days
Average Time to First Review: 11.4 days
Average Time to Publish: 139.4 days
____
..
:: Volume 1, Issue 2 (3-2005) ::
JSRI 2005, 1(2): 196-208 Back to browse issues page
Cumulative Risk Estimation for Chemical Mixtures
M. Razzaghi
, Razzaghi@bloomu.du
Abstract:   (3120 Views)

In reality, humans are always exposed to a combination of toxic substances and seldom to a single agent. Simultaneous exposure to a multitude of chemicals could result in unexpected consequences. The combined risk may lead to greater or less than a simple summation of the effects induced by chemicals given individually. Here, a method is proposed for estimating the cumulative risk which is the risk associated with exposure to more than one chemical through different routes. The method is based on using the data to determine a suitable power transformation of the dose of each component of the mixture and fitting a dose­response model to the mixture under dose­addition. Necessary and sufficient conditions for the constancy of the relative potency between two chemicals in terms of the slopes of their corresponding dose­response models are derived and it is shown how the relative potency may be estimated directly from the joint dose­response model of the mixture. An example using a mixture of four chemicals is used for illustration.

Keywords: Box­Cox transformation, chemical mixtures, joint action, risk assessment.
Full-Text [PDF 247 kb]   (1434 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/02/9 | Accepted: 2016/02/9 | Published: 2016/02/9
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Razzaghi M. Cumulative Risk Estimation for Chemical Mixtures. JSRI 2005; 1 (2) :196-208
URL: http://jsri.srtc.ac.ir/article-1-144-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 1, Issue 2 (3-2005) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
Persian site map - English site map - Created in 0.08 seconds with 42 queries by YEKTAWEB 4645