On the use of covariates for rodent bioassay and screening experiments

Ryan, LM; Orav, EJ

On the use of covariates for rodent bioassay and screening experiments

Ryan, LM

Orav, EJ

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Publication Type:: Journal Article
Citation:: Biometrika, 1988, 75 (4), pp. 631 - 637
Issue Date:: 1988-12-01

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Field	Value	Language
dc.contributor.author	Ryan, LM https://orcid.org/0000-0001-5957-2490	en_US
dc.contributor.author	Orav, EJ	en_US
dc.date.issued	1988-12-01	en_US
dc.identifier.citation	Biometrika, 1988, 75 (4), pp. 631 - 637	en_US
dc.identifier.issn	0006-3444	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26203
dc.description.abstract	Consider a three-state compartmental model with an initial, an absorbing and an intermediate state which may or may not be entered before absorption. Observable data are time to absorption and an indication of whether the intermediate state was entered, but not the time of transition. The transition rates characterizing the process are nonidentifiable without simplifying assumptions or additional information on the prevalence function, defined as the time specific proportion of nonabsorbed individuals in the intermediate state. Our approach makes prevalence identifiable and easily estimable through the use of covariates, combined with one or more random screens of the population. The results are illustrated with pathology data from a rodent tumourigenicity experiment involving several random sacrifices. © 1988 Biometrika Trust.	en_US
dc.relation.ispartof	Biometrika	en_US
dc.relation.isbasedon	10.1093/biomet/75.4.631	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	On the use of covariates for rodent bioassay and screening experiments	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	75	en_US
utslib.for	0104 Statistics	en_US
utslib.for	0103 Numerical and Computational Mathematics	en_US
utslib.for	1403 Econometrics	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.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	75	en_US

Abstract:

Consider a three-state compartmental model with an initial, an absorbing and an intermediate state which may or may not be entered before absorption. Observable data are time to absorption and an indication of whether the intermediate state was entered, but not the time of transition. The transition rates characterizing the process are nonidentifiable without simplifying assumptions or additional information on the prevalence function, defined as the time specific proportion of nonabsorbed individuals in the intermediate state. Our approach makes prevalence identifiable and easily estimable through the use of covariates, combined with one or more random screens of the population. The results are illustrated with pathology data from a rodent tumourigenicity experiment involving several random sacrifices. © 1988 Biometrika Trust.

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http://hdl.handle.net/10453/26203