First-Hitting-Time Based Threshold Regression
-
2010/12/01
Details
-
Personal Author:
-
Description:First-hitting-time (FHT) based threshold regression (TR) model is a relatively new methodology for analyzing survival data where the time-to-event is modeled as the first time the stochastic process of interest hits a boundary threshold. FHT models have been applied in analyzing the failure time of engineering systems, the length of hospital stay, the survival time of AIDS patients, and the duration of industrial strikes, etc. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISBN:9783642048975
-
Publisher:
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
NIOSHTIC Number:nn:20058672
-
Citation:International encyclopedia of statistical science. Lovric M ed. Berlin, Germany: Springer-Verlag, 2010 Dec; :523-524
-
Editor(s):
-
Federal Fiscal Year:2011
-
Performing Organization:University of Maryland - College Park
-
Peer Reviewed:False
-
Start Date:20060901
-
Source Full Name:International encyclopedia of statistical science
-
End Date:20090831
-
Collection(s):
-
Main Document Checksum:urn:sha-512:c95bd81cf48ffa11d370645289b353d6b80d7a02754bec5fad15bbbc056aafa4519f959154ffd608cb4c0d95c1e99addad9e65f4fa1435ff4c358ca7dcab8483
-
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