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Creator |
0e2d1b90682e8c08761586c8975c7f13 |
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Creator |
538c0722d7d106c7098d06ea38e69498 |
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Creator |
ae5421ffd9922427cb0eace525e45eaa |
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Creator |
ext-ccf4fbf86c91b032a4cd9ed5c367d31f |
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Date |
2006-05-30 |
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Is Part Of |
repository |
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Is Part Of |
p02776715 |
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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 |
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authorList |
authors |
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issue |
10 |
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status |
peerReviewed |
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volume |
25 |
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type |
AcademicArticle |
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type |
Article |
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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. |
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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. |
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Title |
Tutorial in biostatistics: The self-controlled case series method |
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in dataset |
oro |