Investigating the assumptions of the self-controlled case series method
| Autor: | Yonas Ghebremichael-Weldeselassie, Liam Smeeth, Ian J. Douglas, C. Paddy Farrington, Heather Whitaker |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Series method Epidemiology Computer science 01 natural sciences stomatognathic diseases 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Robustness (computer science) Econometrics 030212 general & internal medicine 0101 mathematics Algorithm |
| Zdroj: | Statistics in Medicine. 37:643-658 |
| ISSN: | 0277-6715 |
| DOI: | 10.1002/sim.7536 |
| Popis: | We describe some simple techniques for investigating 2 key assumptions of the self-controlled case series (SCCS) method, namely, that events do not influence subsequent exposures and that events do not influence the length of observation periods. For each assumption, we propose some simple tests based on the standard SCCS model, along with associated graphical displays. The methods also enable the user to investigate the robustness of the results obtained using the standard SCCS model to failure of assumptions. The proposed methods are investigated by simulations and applied to data on measles, mumps and rubella vaccine, and antipsychotics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text