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Baetschmann, Gregori; Winkelmann, Rainer (2013). Modelling zero-inflated count data when exposure varies: with an application to tumor counts. Biometrical Journal, 55(5):679-686.
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, refereed, original work |
|---|---|
| Communities & Collections: | 03 Faculty of Economics > Department of Economics |
| Dewey Decimal Classification: | 330 Economics |
| Scopus Subject Areas: | Physical Sciences > Statistics and Probability
Social Sciences & Humanities > Statistics, Probability and Uncertainty |
| Uncontrolled Keywords: | Statistics, Probability and Uncertainty, Statistics and Probability, General Medicine |
| Scope: | Discipline-based scholarship (basic research) |
| Language: | English |
| Date: | September 2013 |
| Deposited On: | 02 Oct 2013 09:07 |
| Last Modified: | 28 Jul 2024 03:36 |
| Publisher: | Wiley-Blackwell Publishing, Inc. |
| ISSN: | 0323-3847 |
| OA Status: | Closed |
| Publisher DOI: | https://doi.org/10.1002/bimj.201200021 |
| Other Identification Number: | merlin-id:8306 |
Baetschmann, Gregori