title: Dimensional statistics for estimation of lung volumes.
abstract: The theory of dimension has been widely used in physics to check the validity of formulae. This theory has not been used more frequently in statistics as compared to physics for development of various prediction formulae/equations in applied physiology. An attempt has, therefore, been made in the present investigation to evolve formulae for estimation of lung volumes from cubic function of height based on dimensional considerations in boys and girls 8-13 and 16-21 years of age.
authors.affiliation: Department of Biostatistics, Defence Institute of Physiology and Allied Sciences, Delhi, India. ssv44@hotmail.com
authors.forename: S S
authors.initials: SS
authors.lastname: Verma
authors.forename: Y K
authors.initials: YK
authors.lastname: Sharma
authors.forename: S
authors.initials: S
authors.lastname: Arora
authors.forename: P
authors.initials: P
authors.lastname: Bandopadhyay
authors.forename: W
authors.initials: W
authors.lastname: Selvamurthy
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001827:Body Height; D001835:Body Weight; D002648:Child; D002657:Child Development / Q000145:classification*; D005260:Female; D006801:Humans; D007194:India; D008176:Lung Volume Measurements; D008297:Male; D015233:Models, Statistical; D012016:Reference Values