The University of Southampton
University of Southampton Institutional Repository

Estimating the surface area of the human body.

Bailey, B.J.R. and Briars, G.L. (1996) Estimating the surface area of the human body. Statistics in Medicine, 15, (13), pp. 1325-1332. (doi:10.1002/(SICI)1097-0258(19960715)15:13<1325::AID-SIM233>3.0.CO;2-K).

Record type: Article


A number of formulae have been suggested for estimating the surface area (SA) of a human body from measurements of height H and weight W. Most of these are of the same functional form, namely lnSA = a0+a1lnH+a2lnW in logarithmic terms, but have quite different values of the coefficients. We show that they are all essentially equivalent in view of the strong linear relation between lnH and lnW. The formula due to Gehan and George, in which a0 = -3751, a1 = 0422 and a2 = 0515 if height is measured in cm, weight in kg and surface area in m2, is based on a sample of 401 surface area measurements and has coefficients estimated by least squares. It should be the medical standard. Moreover, by extending their analysis, it is possible to derive standard errors of surface area estimates and to construct confidence and prediction intervals. Unfortunately, in clinical practice a relation based on just nine subjects, and with coefficients determined in an ad hoc way, is still in common use.

Full text not available from this repository.

More information

Published date: 1996
Organisations: Statistics


Local EPrints ID: 29945
ISSN: 0277-6715
PURE UUID: 1caa09f6-4405-4463-9faf-345ff78948df

Catalogue record

Date deposited: 19 Mar 2007
Last modified: 17 Jul 2017 15:56

Export record



Author: B.J.R. Bailey
Author: G.L. Briars

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.