Investigating the assumptions of the self-controlled case series method.

Statistics in Medicine
Heather J WhitakerC Paddy Farrington

Abstract

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.

References

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Sep 17, 2013·Statistics in Medicine·Yonas Ghebremichael-WeldeselassieC Paddy Farrington
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May 5, 2017·Statistics in Medicine·Yonas Ghebremichael-WeldeselassieC Paddy Farrington

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Citations

Oct 5, 2018·Biometrical Journal. Biometrische Zeitschrift·Heather J WhitakerC Paddy Farrington
Jun 19, 2019·Expert Opinion on Drug Metabolism & Toxicology·Farzin Khosrow-KhavarAntonios Douros
Dec 24, 2018·BMC Public Health·Stefania Spila AlegianiCaterina Rizzo
Nov 3, 2020·The Journal of Infectious Diseases·Silvia Perez-VilarRichard A Forshee
Nov 28, 2020·Clinical Pharmacology and Therapeutics·Katsiaryna BykovJoshua J Gagne
Jun 27, 2021·Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research·Danielle E RobinsonDaniel Prieto-Alhambra
Aug 26, 2021·Epidemiology·Antonio Gasparrini

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