Header

UZH-Logo

Maintenance Infos

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. Biometrische Zeitschrift, 55(5):679-686.

Abstract

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.

Abstract

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.

Statistics

Citations

Dimensions.ai Metrics
3 citations in Web of Science®
3 citations in Scopus®
5 citations in Microsoft Academic
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 02 Oct 2013
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Economics
Dewey Decimal Classification:330 Economics
Language:English
Date:September 2013
Deposited On:02 Oct 2013 09:07
Last Modified:16 Feb 2018 18:06
Publisher:Wiley-VCH Verlag Berlin
ISSN:0323-3847
OA Status:Closed
Publisher DOI:https://doi.org/10.1002/bimj.201200021
Other Identification Number:merlin-id:8306

Download