Estimating upper confidence limits for extra risk in quantal multistage models
Public Domain
-
1994/12/01
Details
-
Personal Author:
-
Description:Models for constructing upper confidence limit estimates of carcinogenic risk were compared. Upper confidence limits on risk were determined in a simulation study of carcinogenicity experiments using two bootstrap methods and compared with those obtained using commonly used likelihood based models. The models examined in the study were described. Parametric bootstrap and likelihood based methods gave better coverage probabilities compared with a nonparametric bootstrap model. The likelihood procedure tended to provide estimates higher than that of true extra risk and was more variable than the bootstrap procedures. The distance from the true extra risk was found to decrease with increasing background tumor rates and the amount of curvature in the actual underlying dose response function was found to affect the relative bias of all estimators. The authors conclude that although the likelihood based method had the best coverage probability properties, the parametric bootstrap procedure was less biased and less variable; however, neither method is considered sufficient for highly curved dose response patterns. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:0272-4332
-
Document Type:
-
Genre:
-
Place as Subject:
-
CIO:
-
Division:
-
Topic:
-
Location:
-
Volume:14
-
Issue:6
-
NIOSHTIC Number:nn:00227372
-
Citation:Risk Analysis 1994 Dec; 14(6):1001-1010
-
Contact Point Address:Risk Assessment Program, Division of Standards Development and Technology Transfer, National Institute for Occupational Safety and Health, 4676 Columbia Parkway, Cincinnati, Ohio 45226
-
Federal Fiscal Year:1995
-
Peer Reviewed:True
-
Source Full Name:Risk Analysis
-
Collection(s):
-
Main Document Checksum:urn:sha-512:86998b12faa9f019f5c64575fc4fb08ad41487dc9f63156e889415be71e7125d6df0253c98b0bb86fc028e517a9191a78f1c69086b81c30993965d657d078318
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like