Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Acute-to-chronic estimation (ACE v 2.0) with time-concentration-effect models : user manual and software /
Author Ellersieck, Mark R. ; Ellersieck, M. R. ; Asfaw, A. ; Mayer, F. L. ; Krause, G. F. ; Sun, K.
CORP Author Missouri Agricultural Experiment Station, Columbia.;National Health and Environmental Effects Research Lab., Gulf Breeze, LA. Gulf Ecology Div.
Publisher U.S. Environmental Protection Agency, Office of Research and Development,
Year Published 2003
Report Number EPA/600/R-03/107
Stock Number PB2005-110798
OCLC Number 192004858
Additional Subjects User manuals(Computer programs) ; Computer software ; Exposure ; Toxicity ; Risk assessment ; Ecology ; Accuracy ; Chemicals ; Chronic effects ; ACE version 2.0 computer program ; Time-concentration-effects model ; ACE(Acute-to-Chronic Estimation) ; Probability risk assessment
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD ARCHIVE EPA 600-R-03-107 Headquarters Library/Washington,DC 05/22/2018
EKCD  EPA 600-R-03-107 CEMM/GEMMD Library/Gulf Breeze,FL 02/15/2008
NTIS  PB2005-110798 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 04/04/2019
Collation vii, 20 pages : illustrations, charts ; 28 cm + 1 CD-ROM (4 3/4 in.)
Predictive toxicological models, including estimates of uncertainty, are necessary to address probability-based ecological risk assessments. Methods and software (ACE) were developed for estimating chronic toxicity from raw acute toxicity data (all response observations at all times and exposures). Three methods were developed - - Accelerated Life Testing (ALT), Multifactor Probit Analysis (MPA), and two-stage Linear Regression Analysis (LRA). Of the three, the method of choice is ALT, in that time to failure (death) of each experiment unit is independent. It requires three partial responses over the time period of acute testing, but will function with one. The MPA is a two dimensional probit analysis using both time and concentration to produce a multiple regression equation, however, each experimental unit is not independent. Also, the MPA requires more partial responses than the ALT. The LRA calculates LC values for each time period and then regresses the LC values as the Y axis and the reciprocal of time as the X axis. The Y intercept is the chronic no-effect concentration. The LRA will function when ALT and MPA fail; no partial responses are required. All methods provide confidence limits for the point estimates. The methods have previously been shown to estimate chronic no-effect concentrations very well when validated against actual paired acute and chronic test results with fishes.
"EPA/600/R-03/107." "December 2003." Includes bibliographical references (pages 18-20).