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

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

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology

UniBE Contributor:

Baetschmann, Gregori

Subjects:

300 Social sciences, sociology & anthropology

ISSN:

0323-3847

Publisher:

Wiley-VCH

Language:

English

Submitter:

Gregori Baetschmann

Date Deposited:

20 Aug 2015 10:21

Last Modified:

20 Aug 2015 10:21

Publisher DOI:

10.1002/bimj.201200021

Uncontrolled Keywords:

Complementary log-log link; Exposure; Extra zeros; Poisson regression

BORIS DOI:

10.7892/boris.70993

URI:

https://boris.unibe.ch/id/eprint/70993

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