subject predicate object context
4085 Creator 0e2d1b90682e8c08761586c8975c7f13
4085 Creator 538c0722d7d106c7098d06ea38e69498
4085 Creator ae5421ffd9922427cb0eace525e45eaa
4085 Creator ext-ccf4fbf86c91b032a4cd9ed5c367d31f
4085 Date 2006-05-30
4085 Is Part Of repository
4085 Is Part Of p02776715
4085 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
4085 authorList authors
4085 issue 10
4085 status peerReviewed
4085 volume 25
4085 type AcademicArticle
4085 type Article
4085 label Whitaker, Heather J. ; Farrington, C. Paddy ; Spiessens, Bart and Musonda, Patrick (2006). Tutorial in biostatistics: The self-controlled case series method. Statistics in Medicine, 25(10) pp. 1768–1797.
4085 label Whitaker, Heather J. ; Farrington, C. Paddy ; Spiessens, Bart and Musonda, Patrick (2006). Tutorial in biostatistics: The self-controlled case series method. Statistics in Medicine, 25(10) pp. 1768–1797.
4085 Title Tutorial in biostatistics: The self-controlled case series method
4085 in dataset oro