Whitaker, Heather J.; Farrington, C. Paddy; Spiessens, Bart and Musonda, Patrick
(2006).
| DOI (Digital Object Identifier) Link: | http://doi.org/10.1002/sim.2302 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
The self-controlled case series method was developed to investigate associations between acute outcomes and transient exposures, using only data on cases, that is, on individuals who have experienced the outcome of interest. Inference is within individuals, and hence fixed covariates effects are implicitly controlled for within a proportional incidence framework. We describe the origins, assumptions, limitations, and uses of the method. The rationale for the model and the derivation of the likelihood are explained in detail using a worked example on vaccine safety. Code for fitting the model in the statistical package STATA is described. Two further vaccine safety data sets are used to illustrate a range of modelling issues and extensions of the basic model. Some brief pointers on the design of case series studies are provided. The data sets, STATA code, and further implementation details in SAS, GENSTAT and GLIM are available from an associated website
| Item Type: | Journal Article |
|---|---|
| ISSN: | 0277-6715 |
| Keywords: | case series; conditional likelihood; control; epidemiology; modelling; proportional incidence |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 4085 |
| Depositing User: | Paddy Farrington |
| Date Deposited: | 05 Jul 2006 |
| Last Modified: | 02 Aug 2016 12:57 |
| URI: | http://oro.open.ac.uk/id/eprint/4085 |
| Share this page: |     |
Altmetrics | Scopus Citations |