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Existence and uniqueness of relative incidence estimates in case-series analysis

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journal contribution
posted on 01.12.2011 by Baibing Li, Xiangning Huang
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 Analysis

Volume

50

Issue

7

Pages

1807 - 1817

Citation

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

© Elsevier

Version

AM (Accepted Manuscript)

Publication date

2006

Notes

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/S0167947305000319

ISSN

0167-9473

Language

en

Exports