Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

22.4K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
22.4K
Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

8.9K
To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
8.9K
Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

2.1K
The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
2.1K
What are Estimates?01:06

What are Estimates?

5.3K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
5.3K
Vertebral Column: Regions and Curvature01:16

Vertebral Column: Regions and Curvature

3.9K
The vertebral column or spine is a flexible column that supports the head, neck, and body and  allows for their movements. It also protects the spinal cord.
Regions of the Vertebral Column
In an adult, the spine is subdivided into five regions: the cervical, the thoracic, the lumbar, the sacral, and the coccygeal region. The spine initially develops as a series of 33 vertebrae; after 20 years of age, the nine bones in the sacral region, five sacral, and four coccygeal bones fuse to form...
3.9K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.1K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AI-driven differentiation of 2D proximal femur morphometry and hounsfield units for integrated forensic estimation of sex, stature, and age in a modern Thai dry bone sample.

Anatomical science international·2026
Same authorSame journal

Application of machine learning for sex estimation using the first and second ribs in the Northern Thai population.

Anatomy & cell biology·2026
Same author

Safety Evaluation of an Alternative Chest Compression Landmark for Cardiopulmonary Resuscitation: A Cadaveric Randomized Controlled Trial.

Prehospital emergency care·2025
Same author

Combined Serum IL-6 and CYFRA 21-1 as Potential Biomarkers for Radon-Associated Lung Cancer Risk: A Pilot Study.

Biomedicines·2025
Same author

Sex, stature, and age estimation from skull using computed tomography images: Current status, challenges, and future perspectives.

Medicine, science, and the law·2025
Same author

Prediction of Skin Color Using Forensic DNA Phenotyping in Asian Populations: A Focus on Thailand.

Biomolecules·2025

Related Experiment Video

Updated: Aug 12, 2025

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.6K

Stature estimation using the sacrum in a Thai population.

Waratchaya Keereewan1, Tawachai Monum2, Sukon Prasitwattanaseree3

  • 1Master of Science Program in Forensic Science, Graduate School, Chiang Mai University, Chiang Mai, Thailand.

Anatomy & Cell Biology
|January 26, 2023
PubMed
Summary

Forensic anthropologists can estimate stature using sacrum measurements in the Thai population. This study developed regression equations from sacral bone dimensions, offering an alternative when long bones are unavailable.

Keywords:
Forensic anthropologySacrumStature estimationThai population

More Related Videos

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.2K
Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.3K

Related Experiment Videos

Last Updated: Aug 12, 2025

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.6K
Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.2K
Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.3K

Area of Science:

  • Forensic Anthropology
  • Bioarchaeology
  • Human Osteology

Background:

  • Stature estimation is crucial for biological profile analysis in forensic investigations.
  • Long bones are typically used, but non-long bones like the sacrum are valuable when long bones are absent or damaged.

Purpose of the Study:

  • To develop regression equations for stature estimation using sacral bone measurements in the Thai population.
  • To assess the accuracy of different sacral measurements for predicting stature.

Main Methods:

  • 200 dry sacra from the Thai population were analyzed.
  • Ten specific measurements of the sacrum were taken.
  • Regression analyses were performed to establish stature estimation models.

Main Results:

  • Maximum anterior breadth (MAB) showed the highest accuracy for males (r=0.53) and females (r=0.48).
  • A combined-sex multiple regression model incorporating five measurements yielded a Standard Error of Estimation (SEE) of 6.42 cm.
  • Sex-specific models also demonstrated predictive capability with lower SEEs for males (5.35 cm) and females (5.88 cm).

Conclusions:

  • Sacrum-derived regression equations provide a viable method for stature estimation in the Thai population.
  • These equations are particularly useful in forensic cases where long bones are not available for analysis.