Self-controlled case series with multiple event types
| Autor: | Heather Whitaker, Ian J. Douglas, C. Paddy Farrington, Yonas Ghebremichael-Weldeselassie, Liam Smeeth |
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| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Series (mathematics) Applied Mathematics Competing risks 01 natural sciences 3. Good health 010104 statistics & probability 03 medical and health sciences Computational Mathematics 0302 clinical medicine Computational Theory and Mathematics Statistics Econometrics 030212 general & internal medicine 0101 mathematics Rare disease assumption Mathematics Event (probability theory) |
| Zdroj: | Computational Statistics & Data Analysis. 113:64-72 |
| ISSN: | 0167-9473 |
| DOI: | 10.1016/j.csda.2016.10.010 |
| Popis: | Self-controlled case series methods for events that may be classified as one of several types are described. When the event is non-recurrent, the different types correspond to competing risks. It is shown that, under circumstances that are likely to arise in practical applications, the SCCS multi-type likelihood reduces to the product of the type-specific likelihoods. For recurrent events, this applies whether or not the marginal type-specific counts are dependent. As for the standard SCCS method, a rare disease assumption is required for non-recurrent events. Several forms of this assumption are investigated by simulation. The methods are applied to data on MMR vaccine and convulsions (febrile and non-febrile), and to data on thiazolidinediones and fractures (at different sites). |
| Databáze: | OpenAIRE |
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