Factors that influence data quality in caries experience detection: A multilevel modeling approach

Caries Research

Volumn 44, Issue 5, 2010, Pages 438-444

  Mutsvari, T ^a   Lesaffre, E ^a,d   Garcia Zattera M J ^a,c   Diya, L ^a   Declerck, D ^b  

^a KU LEUVEN   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

^d ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Calibration; Multilevel; Sensitivity; Specificity

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; BELGIUM; CALIBRATION; CHILD; CLUSTER ANALYSIS; COMPARATIVE STUDY; CONFIDENCE INTERVAL; DECIDUOUS TOOTH; DENTAL CARIES; FEEDING BEHAVIOR; FEMALE; HEALTH SURVEY; HUMAN; LONGITUDINAL STUDY; MALE; MOUTH DISEASE; MOUTH HYGIENE; OBSERVER VARIATION; PATHOLOGY; PREVALENCE; SENSITIVITY AND SPECIFICITY; STANDARD; STATISTICAL MODEL; STATISTICS; TOOTH; UNCERTAINTY;

ALGORITHMS; BAYES THEOREM; BELGIUM; CALIBRATION; CHILD; CLUSTER ANALYSIS; CONFIDENCE INTERVALS; DENTAL CARIES; DIAGNOSIS, ORAL; DMF INDEX; FEMALE; FOOD HABITS; HUMANS; LOGISTIC MODELS; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; OBSERVER VARIATION; ORAL HYGIENE; PREVALENCE; SENSITIVITY AND SPECIFICITY; TOOTH; TOOTH, DECIDUOUS; UNCERTAINTY;

EID: 77956480063     PISSN: 00086568     EISSN: None     Source Type: Journal    
DOI: 10.1159/000319539     Document Type: Article

References (22)

1. Assaf AV, Meneghim MC, Zanin L, Mialhe FL, Pereira AC, Ambrosano GM: Assessment of different methods for diagnosing dental caries in epidemiological surveys. Community Dent Oral Epidemiol 2004; 32:418-425.
2. Burnside G, Pine CM, Williamson PR: The application of multilevel modelling to dental caries data. Stat Med 2007; 26: 4139-4149.
3. Gelman A, Hill J: Data Analysis Using Regression and Multilevel/ Hierachical Models. Cambridge, Cambridge University Press, 2007.
4. Heifetz SB, Brunelle JA, Horowitz HS, Leske GS: Examiner consistency and group balance at baseline of a caries clinica l trial. Community Dent Oral Epidemiol 1985; 13: 82-85.
5. International Caries Detection and Assessment System Coordinating Committee 2005 Criteria Manual: International Caries Detection and Assessment System (ICDAS II), 2005.
6. Kassawara AB, Assaf AV, Meneghim MC, Pereira AC, Topping G, Levin K, Ambrosano GM: Comparison of epidemiological evaluations under different caries diagnosis thresholds. Oral Health Prev Dent 2007; 5:137-144.
7. Les a f f re E, Küchen hof f H, Mwa l i li S, Declerck D: On the estimation of the misclassification table for finite count data with an application in caries resea rch. Statist Modelling 2009; 9: 99-118.
8. Leyland AH, Goldstein H: Multilevel Modelling of Health Statistics. Hoboken, Wiley & Sons, 2001.
9. Liang KY, Zeger SL: Longitudinal data analysis using generalized estimating equation models. Biometrika 1986; 73: 13-22.
10. Lunn D, Thomas A, Best N, Spiegelhalter D: WinBUGS-A Bayesian modelling framework: concepts, structure, and extensibility. Statist Computing 2000; 10:325-337.
11. Molenberghs G, Verbeke G: Models for Discrete Longitudinal Data. Berlin, Springer, 2005.
12. Pine C, Pitts N, Nugent Z: British Association for the Study of Community Dentistry (BASCD) guidance on the statistical aspects of training and calibration of examiners for surveys of child dental health: a BASCD coordinated dental epidemiology programme quality standard. Community Dent Health 1997; 14(suppl 1):18-29.
13. Pitts NB: Clinical diagnosis of dental caries: a European perspective. J Dent Educ 2001; 65: 972-978.
14. Plummer M, Best N, Cowles K, Vines K: Coda-output analysis and diagnostics for MCMC, R Package Version 0.13-3, 2008.
15. Poorterman JH, Verheij JG, Kieft JA, Eijkman MA: Variations among dentists in the diagnosis of caries and assessment of dental restorations. Ned Tijdschr Tandheelkd 1997; 104:214-218.
16. Smith P, Hadgu A: Sensitivity and specificity for correlated observations. Stat Med 1992; 11: 1503-1509.
17. Spiegelhalter D, Thomas A, Best N, Gilks W: Bayesian Inference Using Gibbs Sampling Manual. Cambridge, 1996.
18. Vanobbergen J, Martens L, Lesaffre E, Declerck D: The Signal Tandmobiel* project, a longitudinal intervention health promotion study in Flanders (Belgium): baseline and first year results. Eur J Paediatr Dent 2000; 2:87-96.
19. WHO: Oral Health Surveys: Basic Methods, ed 3 (public health report). Geneva, World Health Organization, 1987.
20. WHO: Oral Health Surveys: Basic Methods, ed 4 (public health report). Geneva, World Health Organization, 1997.
21. William FM, Nan G: Estimation of sensitivity and specificity of clustered binary data, statistics and data analysis, SUGI 31 proceedings. SAS Proceedings, 2006.
22. Williamson JM, Datta S, Satten GA: Marginal analyses of clustered data when cluster size is informative. Biometrics 2003; 59: 36-42.