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Estimation of caries experience by multiple imputation and direct standardization
1Netherlands Organization for Applied Scientific Research TNO, Leiden, The Netherlands.
Caries Research
|December 4, 2013
Summary
Accurate caries experience estimates are crucial for public oral health. Multiple imputation and direct standardization effectively address missing data and nonresponse in children
Area of Science:
- Dental Public Health
- Biostatistics
- Epidemiology
Background:
- Monitoring population oral health requires valid estimates of caries experience.
- Nonresponse and missing data complicate the practical acquisition of these estimates.
Purpose of the Study:
- To estimate caries experiences in 5- and 11-year-old children.
- To evaluate methods for handling nonresponse and missing data in caries estimation.
Main Methods:
- Comparison of four distinct estimation methods for caries experience.
- Assessment of assumptions regarding nonresponse and missing data mechanisms.
- Application of multiple imputation combined with direct standardization.
Main Results:
- Three of the four methods underestimated caries experience due to unrealistic missing data assumptions.
- Multiple imputation with direct standardization, under the missing at random assumption, provided accurate corrections.
Conclusions:
- Current methodologies often underestimate caries experience due to handling of missing data.
- A combination of multiple imputation and direct standardization is recommended for accurate caries experience estimation in populations with missing data and nonresponse.
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