Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/32613
Title: | Optimising the case-crossover design for use in shared exposure settings | Authors: | BRAEYE, Toon HENS, Niel |
Issue Date: | 2020 | Publisher: | CAMBRIDGE UNIV PRESS | Source: | EPIDEMIOLOGY AND INFECTION, 148 , (Art N° e151) | Abstract: | With a case-crossover design, a case's exposure during a risk period is compared to the case's exposures at referent periods. The selection of referents for this self-controlled design is determined by the referent selection strategy (RSS). Previous research mainly focused on systematic bias associated with the RSS. We additionally focused on how RSS determines the number of referents per risk, sensitivity to overdispersion and time-varying confounding. We illustrated the consequences of different RSS using a simulation study informed by data on meteorological variables and Legionnaires' disease. By randomising the events and exposure time series, we explored statistical power associated with time-stratified and fixed bidirectional RSS and their susceptibility to systematic bias and confounding bias. In addition, we investigated how a high number of events on the same date (e.g. outbreaks) affected coefficient estimation. As illustrated by our work, referent selection alone can be insufficient to control for a time-varying confounding bias. In contrast to systematic bias, confounding bias can be hard to detect. We studied potential solutions: varying the model parameters and link-function, outlier-removal and aggregating the input-data over smaller areas. Our simulation study offers a framework for researchers looking to detect and to avoid bias in case-crossover studies. | Notes: | Braeye, T (corresponding author), Sciensano, Dept Publ Hlth & Surveillance, Brussels, Belgium.; Braeye, T (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium. Toon.Braeye@sciensano.be |
Other: | Braeye, T (corresponding author), Sciensano, Dept Publ Hlth & Surveillance, Brussels, Belgium; Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium. Toon.Braeye@sciensano.be | Keywords: | Case-crossover study;conditional logistic regression;simulation study | Document URI: | http://hdl.handle.net/1942/32613 | ISSN: | 0950-2688 | e-ISSN: | 1469-4409 | DOI: | 10.1017/S0950268820000916 | ISI #: | WOS:000550216200001 | Rights: | © The Author(s), 2020. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
braeye.pdf | Published version | 1.49 MB | Adobe PDF | View/Open |
WEB OF SCIENCETM
Citations
5
checked on Oct 12, 2024
Page view(s)
34
checked on Sep 7, 2022
Download(s)
12
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.