Statistical analysis of disease onset and lifetime data from tumorigenicity experiments.

Lagakos, SW; Ryan, LM

Statistical analysis of disease onset and lifetime data from tumorigenicity experiments.

Lagakos, SW Ryan, LM

Permalink

Publication Type:: Journal Article
Citation:: Environmental Health Perspectives, 1985, 63 pp. 211 - 216
Issue Date:: 1985-11-01

Closed Access

	Filename	Description	Size
	2011008612OK.pdf		896.77 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Lagakos, SW	en_US
dc.contributor.author	Ryan, LM https://orcid.org/0000-0001-5957-2490	en_US
dc.date.issued	1985-11-01	en_US
dc.identifier.citation	Environmental Health Perspectives, 1985, 63 pp. 211 - 216	en_US
dc.identifier.issn	0091-6765	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26201
dc.description.abstract	We present and discuss several methods for analyzing rodent tumorigenicity experiments. Two approaches are based on the age and tumor status (present/absent) of each animal at the time of death, and assume either that the tumor type is nonlethal or instantly lethal. Two other approaches avoid such restrictive assumptions about tumor lethality by requiring additional types of data. One method assumes that animals are randomly sacrificed at various ages throughout the study. The second approach requires that each animal which develops the tumor be classified as dying either from the tumor or from other causes.	en_US
dc.relation.ispartof	Environmental Health Perspectives	en_US
dc.subject.classification	Toxicology	en_US
dc.subject.mesh	Animals	en_US
dc.subject.mesh	Neoplasms, Experimental	en_US
dc.subject.mesh	Death	en_US
dc.subject.mesh	Probability	en_US
dc.subject.mesh	Age Factors	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Statistics as Topic	en_US
dc.title	Statistical analysis of disease onset and lifetime data from tumorigenicity experiments.	en_US
dc.type	Journal Article
utslib.citation.volume	63	en_US
utslib.for	010402 Biostatistics	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	11 Medical and Health Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	63	en_US

Abstract:

We present and discuss several methods for analyzing rodent tumorigenicity experiments. Two approaches are based on the age and tumor status (present/absent) of each animal at the time of death, and assume either that the tumor type is nonlethal or instantly lethal. Two other approaches avoid such restrictive assumptions about tumor lethality by requiring additional types of data. One method assumes that animals are randomly sacrificed at various ages throughout the study. The second approach requires that each animal which develops the tumor be classified as dying either from the tumor or from other causes.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/26201