March 2020

Volume 37, Issue 1

Random and Systematic Bias in Population Oral Health Research: an introduction

Authors: Jamieson LM
doi: 10.1922/CDH_SpecialIssueJamiesonIntro01

Abstract

Bias in population oral health research is a form of systematic error that can affect scientific investigations and distort inference (i.e under or over confidence in an estimate). A biased study loses validity in relation to the degree of the bias. While some study designs are more prone to bias, its presence is universal. It is difficult to completely eliminate bias; in the process of attempting to do so, new bias may be introduced or a study may be rendered less generalizable. The goals are to therefore minimize bias and for investigators and readers to comprehend its residual effects, limiting misinterpretation and misuse of data. In the four papers that follow, we seek to contribute to the discourse around random and systematic bias in population oral health research through the lens of case controlled studies, longitudinal studies and genomics re search. The papers formed the basis of a symposium entitled ‘Random and Systematic Bias in Population Oral Health Research’ at the 98th General Session of the International Association of Dental Research held March 2020 in Washington DC, United States.

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Other articles in this issue

Article Pages Access
Editorial: Brexit - Consequences for the UK’s Oral Health Workforce? 3-4 Download
The distribution of dentists in Australia Socio-economic profile as an indicator of access to services 5-11 Download
Alcohol consumption is associated with periodontitis. A systematic review and meta-analysis of observational studies 12-21 Download
Tobacco use and dental fear among 15-16 year-old adolescents in Finland 22-25 Download
Determinants of periodontitis among a rural Indian population: A case control study 26-31 Download
Effect of treating carious teeth on children’s and adolescents’ anthropometric outcomes: A systematic review of randomised controlled trials 32-38 Download
Perspectives of socially disadvantaged women on oral healthcare during pregnancy 39-44 Download
Assessing the conceptual model of the Oral Health Impact Profile-49 (OHIP-49): A path analysis 45-50 Download
Dentistry, e-health and digitalisation: A critical narrative review of the dental literature on digital technologies with insights from health and technology studies 51-58 Download
Retrospective analysis of the association between tooth loss and dementia: a population-based matched case control study 59-64 Download
Proceedings of EADPH Pre-Congress Workshop held on Wednesday, 11 September 2019 at Het Pand, University of Ghent, Belgium 65-82 Download
Random and Systematic Bias in Population Oral Health Research: an introduction 83-83 Download
Estimating Bias Due to Unmeasured Confounding in Oral Health Epidemiology [Special issue of Community Dental Health, to be disseminated at ‘Random and Systematic Bias in Population Oral Health Research’ IADR symposium, March 2020, Washington DC.] 84-89 Download
Bias in population oral health research: longitudinal studies [Special issue of Community Dental Health, to be disseminated at ‘Random and Systematic Bias in Population Oral Health Research’ IADR symposium, March 2020, Washington DC.] 90-95 Download
Quantitative Bias Analysis of misclassification in casecontrol studies: an example with Human Papillomavirus and Oropharyngeal Cancer 96-101 Download
Sources of bias in genomics research of oral and dental traits [Special issue of Community Dental Health, to be disseminated at ‘Random and Systematic Bias in Population Oral Health Research’ IADR symposium, March 2020, Washington DC.] 102-106 Download

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