Reach Us +44-1522-440391
Flexible Modelling Of Exposure Effect In The Self Controlled Case Series Method | 7703
ISSN: 2155-6180

Journal of Biometrics & Biostatistics
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Flexible modelling of exposure effect in the self controlled case series method

2nd International Conference and Exhibition on Biometrics & Biostatistics

Yonas Ghebremichael-Weldeselassie

Accepted Abstracts: J Biomet Biostat

DOI: 10.4172/2155-6180.S1.019

The self-controlled case-series method (SCCS), commonly used to investigate potential associations between vaccines and adverse events, requires information on cases only and automatically controls all age-independent multiplicative confounders, while allowing for an age dependent baseline incidence. Currently the SCCS method represents the time-varying exposures using step function. However, using step functions are associated with problems of discontinuities in risks at category cut points, not being biologically plausible and violating the assumption of actual risks varying smoothly with data. Moreover, misspecification of categories may lead to biased results. We therefore, propose to model exposure effects using flexible functions. We represented time since exposure using a linear combination of cubic M-splines. The use of M-splines in addition to giving plausible shapes it avoids the integral in the log likelihood function of SCCS method. The new approach is validated in simulations and applied to investigate the association between the risk of fractures and exposure to Thiazolidinediones. The simulation study showed that the new approach performs better.
Yonas Ghebremichael-Weldeselassie is in his last year of Ph.D. study at the Open University, Milton Keynes, UK. He completed his MSc in Biostatistics in 2010, from Hasselt University, Belgium, with great distinction in the first year and distinction in the second year of study. He gave an invited talk at the 33rd conference of the International Society for Clinical Biostatistics and contributed talks in other conferences. From his Ph.D. project, Yonas has so far published one paper in and submitted another to reputed journals
Relevant Topics