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Statistical estimation of skeletal maturity
Author(s) -
Thissen David
Publication year - 1989
Publication title -
american journal of human biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.559
H-Index - 81
eISSN - 1520-6300
pISSN - 1042-0533
DOI - 10.1002/ajhb.1310010207
Subject(s) - estimation , maturity (psychological) , hum , computer science , statistical model , statistics , data mining , mathematics , econometrics , machine learning , engineering , psychology , art , developmental psychology , systems engineering , performance art , art history
Given a number of developing aspects of the skeletal system that may be used as indicators of maturity, some combination rule is required to produce a single numerical description of skeletal maturity from data on several such indicators. In the RWT system for estimation of skeletal maturity from indicators in the knee, a nonlinear statistical model for graded data is used for this purpose. In the application of a similar model in the FELS system for the hand‐wrist, the estimation procedure was extended to include continuous as well as graded indicators. This paper describes the statistical estimation procedure used, with illustrations drawn from the hand‐wrist system.