Abstract BackgroundThe target trial framework was developed as a strategy to design and analyze observational epidemiologic studies with the aim of reducing bias due to analytic decisions. It involves designing a hypothetical randomized trial to answer a question of interest and systematically considering how to use observational data to emulate each trial component. AimsThe primary aim of this paper is to provide a detailed example of the application of the target trial framework to a research question in oral epidemiology. Materials and MethodsWe describe the development of a hypothetical target trial and emulation protocol to evaluate the effect of preconception periodontitis treatment on time‐to‐pregnancy. We leverage data from Pregnancy Study Online (PRESTO), a preconception cohort, to ground our example in existing observational data. We discuss the decision‐making process for each trial component, as well as limitations encountered. ResultsOur target trial application revealed data limitations that precluded us from carrying out the proposed emulation. Implications for data quality are discussed and we provide recommendations for researchers interested in conducting trial emulations in the field of oral epidemiology. DiscussionThe target trial framework has the potential to improve the validity of observational research in oral health, when properly applied. ConclusionWe encourage the broad adoption of the target trial framework to the field of observational oral health research and demonstrate its value as a tool to identify directions for future research.
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Some results and problems on clique coverings of hypergraphs
Abstract For a ‐uniform hypergraph we consider the parameter , the minimum size of a clique cover of the edge set of . We derive bounds on for belonging to various classes of hypergraphs.
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- Award ID(s):
- 2300347
- PAR ID:
- 10584372
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Journal of Graph Theory
- Volume:
- 107
- Issue:
- 2
- ISSN:
- 0364-9024
- Page Range / eLocation ID:
- 442 to 457
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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