Journal article
Correlation in Dental Studies: Why It Matters and What to Do About It
The International journal of oral and maxillofacial implants, Vol.38(3), pp.417-421
05/01/2023
DOI: 10.11607/jomi.10285
Abstract
In dental research, it is particularly common for studies to collect data that are fundamentally correlated. Some common dental situations in which correlation arises include patients being observed across multiple teeth and/or across multiple time points, such as before and after treatment, or groups of patients being clustered (ie, familial units). For a number of traditional statistical tests and modeling techniques, the assumption of independence between observations is imperative in order to receive valid results and make accurate conclusions. This article describes how ignoring inherent correlations in data can lead to erroneous results when using traditional methods as well as the types of modeling techniques that are available to handle correlated data. Furthermore, two simulation studies are performed to further illustrate and prove the advantages of adequately handling correlated data in statistical analyses.
Details
- Title: Subtitle
- Correlation in Dental Studies: Why It Matters and What to Do About It
- Creators
- Eldon SorensenChandler PendletonXian Jin Xie
- Resource Type
- Journal article
- Publication Details
- The International journal of oral and maxillofacial implants, Vol.38(3), pp.417-421
- DOI
- 10.11607/jomi.10285
- eISSN
- 1942-4434
- Language
- English
- Date published
- 05/01/2023
- Academic Unit
- Preventive and Community Dentistry; Biostatistics; Dental Research
- Record Identifier
- 9984430332502771
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