Li-B-existence-CSDA2006.pdf (325.37 kB)
Existence and uniqueness of relative incidence estimates in case-series analysis
Case-series analysis is used to estimate relative incidences of clinical events in defined time intervals after vaccination compared to a control period. It has advantages, in terms of both a reduction in data collection effort, because it uses only data on cases, and a reduction in the resultant variances of estimates, due to individuals being self-controlled. The existence and uniqueness of relative incidence estimates in case-series analysis are investigated. For the relative incidence of a clinical event, a simple condition for existence and uniqueness of the estimate of the parameter vector in a case-series model is established. An algorithm is developed to examine the established condition, which provides a clue for remedy when the condition for existence and uniqueness is not satisfied.
History
School
- Business and Economics
Department
- Business
Published in
Computational Statistics and Data AnalysisVolume
50Issue
7Pages
1807 - 1817Citation
LI, B. and HUANG, X., 2006. Existence and uniqueness of relative incidence estimates in case-series analysis. Computational Statistics and Data Analysis, 50 (7), pp. 1807-1817.Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publication date
2006Notes
This article was published in the journal, Computational Statistics and Data Analysis [© Elsevier]. The definitive version is available from: http://www.sciencedirect.com/science/article/pii/S0167947305000319ISSN
0167-9473Publisher version
Language
- en