Related Experiment Video
Updated: Aug 9, 2026

Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation
Published on: July 21, 2014
Expressing Uncertainty in Dental Age Estimation: A Comparison between Two Methods of Calculating the "Average"
Derek Draft1, Victoria S Lucas2, Fraser McDonald2
1Department of Pathology, Homer Stryker MD School of Medicine, Western Michigan University, Kalamazoo, MI.
Calculating uncertainty in dental age estimation requires weighting standard deviation by subject count per stage. This method reveals a significantly greater range of uncertainty, improving accuracy for unknown ages.
Area of Science:
- Forensic Anthropology
- Odontology
- Biostatistics
Background:
- Uncertainty in standard deviation (sd) is crucial for accurate dental age estimation.
- Current methods often use unweighted sd, potentially underestimating the true range of uncertainty.
Purpose of the Study:
- To investigate the impact of weighting standard deviation calculations by subject count on dental age estimation uncertainty.
- To compare the range of uncertainty between weighted and unweighted standard deviation methods.
Main Methods:
- Standard deviation (sd) calculation for dental age estimation was weighted by the number of subjects in each tooth development stage.
- A comparative analysis was performed between weighted and unweighted sd methods.
Main Results:
- The range of uncertainty for dental age estimation was statistically significantly greater (p < 0.001) when using the weighted sd compared to the unweighted sd.
- Weighting the sd calculation by subject count provides a more comprehensive measure of uncertainty.
Conclusions:
- The number of subjects per tooth development stage must be incorporated into the simple average method for dental age estimation.
- Including subject counts in sd calculations enhances the accuracy of uncertainty estimates for individual dental age assessments.
Related Concept Videos
Chebyshev's Theorem to Interpret Standard Deviation
Estimating Population Mean with Known Standard Deviation
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate + error bound)
The...
Estimating Population Standard Deviation
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Estimating Population Mean with Unknown Standard Deviation
William S. Gosset (1876–1937) of the Guinness...
Teeth
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin and...

