Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Publication

An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models.

Kathie L Dionisio | Lisa K Baxter | Howard H Chang
Environmental health perspectives | 2014

Using multipollutant models to understand combined health effects of exposure to multiple pollutants is becoming more common. However, complex relationships between pollutants and differing degrees of exposure error across pollutants can make health effect estimates from multipollutant models difficult to interpret.

Pubmed ID: 25003573

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIEHS NIH HHS, United States
    Id: R21 ES022795
  • Agency: NIEHS NIH HHS, United States
    Id: 1R21ES022795-01A1

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.

R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

View all literature mentions

About

The Stimulating Peripheral Activity to Relieve Conditions (SPARC) effort is the result of National Institutes of Health’s (NIH) drive to map out the neural circuitry responsible for visceral control in higher vertebrates. The SPARC Anatomy Working Group (SAWG) is responsible for the integrity of anatomical knowledge in SPARC

Recent News Entries

Contact Us

Maryann Martone, Ph.D.

Department of Neurosciences, School of Medicine

University of California, San Diego

About SciCrunch | Privacy Policy | Terms of Service

SciCrunch