Which method of stature estimation is most commonly used, involving predicting height from selected bones using regression equations?

• A. Anatomical method
• B. Mathematical method (stature)
• C. Proliferative method
• D. Lytic method

Answer: (B)

Estimating stature using regression equations is the standard mathematical approach in forensic anthropology. The idea is simple: certain bones, especially long bones like the femur, tibia, and humerus, have lengths that correlate strongly with overall height. By measuring these bones on a skeleton and applying sex- and population-specific regression formulas derived from reference data, you can predict the living height with a known margin of error. This method is most commonly used because it works well even when only partial remains are available, it’s efficient, and it yields a quantitative estimate with an estimated error.

The anatomical method, by contrast, involves reconstructing a full skeleton to approximate height, which is time-consuming and highly sensitive to missing elements or reconstruction inaccuracies. The other terms aren’t standard approaches for stature estimation; they don’t describe the established practice of using bone lengths with regression models.