Modelling zero-inflated count data when exposure varies: with an application to tumor counts)


Autoria(s): Baetschmann, Gregori; Winkelmann, Rainer
Data(s)

29/07/2013

Resumo

This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a modified zero-inflated count data model where the probability of an extra zero is derived from an underlying duration model with Weibull hazard rate. The new model is compared to the standard Poisson model with logit zero inflation in an application to the effect of treatment with thiotepa on the number of new bladder tumors.

Formato

application/pdf

Identificador

http://boris.unibe.ch/70993/1/Baetschmann_et_al-2013-Biometrical_Journal.pdf

Baetschmann, Gregori; Winkelmann, Rainer (2013). Modelling zero-inflated count data when exposure varies: with an application to tumor counts). Biometrical journal, 55(5), pp. 679-686. Wiley-VCH 10.1002/bimj.201200021 <http://dx.doi.org/10.1002/bimj.201200021>

doi:10.7892/boris.70993

info:doi:10.1002/bimj.201200021

urn:issn:0323-3847

Idioma(s)

eng

Publicador

Wiley-VCH

Relação

http://boris.unibe.ch/70993/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Baetschmann, Gregori; Winkelmann, Rainer (2013). Modelling zero-inflated count data when exposure varies: with an application to tumor counts). Biometrical journal, 55(5), pp. 679-686. Wiley-VCH 10.1002/bimj.201200021 <http://dx.doi.org/10.1002/bimj.201200021>

Palavras-Chave #300 Social sciences, sociology & anthropology
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed