Modeling zero-inflated count data when exposure varies: With an application to tumor counts.

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.

• Authors: Gregori Baetschmann, Rainer Winkelmann
• Journal: Biometrical journal. Biometrische Zeitschrift (Biom J) Vol. 55 Issue 5 Pg. 679-86 (Sep 2013) ISSN: 1521-4036 [Electronic] Germany
• PMID: 24003010 (Publication Type: Journal Article)
• Copyright: © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Chemical References

• Thiotepa

Topics

• Biometry (methods)
• Follow-Up Studies
• Humans
• Models, Statistical
• Poisson Distribution
• Randomized Controlled Trials as Topic
• Recurrence
• Stochastic Processes
• Thiotepa (therapeutic use)
• Time Factors
• Tumor Burden
• Urinary Bladder Neoplasms (drug therapy, pathology)