A Semi-parametric Method for Describing the Age-specific Distribution of Clinical Measurements in Cross-sectional Study

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Title ( eng )
A Semi-parametric Method for Describing the Age-specific Distribution of Clinical Measurements in Cross-sectional Study
Creator
Rahman Mohd. Muzibur
Kambe Masayuki
Source Title
Hiroshima Journal of Medical Sciences
Volume 55
Issue 1
Start Page 17
End Page 28
Journal Identifire
[PISSN] 0018-2052
[EISSN] 2433-7668
[NCID] AA00664312
Abstract
Age-specific distribution of clinical measurements in cross-sectional study is described in this paper. Since the distribution of measurements usually varies with age, a model with an agedependent structure is needed. We propose here a statistical method for describing the age-specific distribution using an extension of the power-normal-model. The age-dependent parameters are to be estimated through a nonparametric smoothing technique based on the local likelihood method. As a consequence, we can compute a smoothed percentile curve of measurements with reference to age. Several kinds of clinical measurements are analyzed to determine the proposed method.
Keywords
Age-dependent measurement
Box-Cox transformation
Cross-sectional study
Percentile estimation
Local likelihood method
Power-normal-model
NDC
Medical sciences [ 490 ]
Language
eng
Resource Type departmental bulletin paper
Publisher
Hiroshima University Medical Press
Date of Issued 2006-03
Rights
(c) Hiroshima University Medical Press.
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 0018-2052
[NCID] AA00664312