A Semi-parametric Method for Describing the Age-specific Distribution of Clinical Measurements in Cross-sectional Study
Hiroshima Journal of Medical Sciences Volume 55 Issue 1
Page 17-28
published_at 2006-03
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Title ( eng ) |
A Semi-parametric Method for Describing the Age-specific Distribution of Clinical Measurements in Cross-sectional Study
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Creator |
Rahman Mohd. Muzibur
Kambe Masayuki
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Source Title |
Hiroshima Journal of Medical Sciences
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Volume | 55 |
Issue | 1 |
Start Page | 17 |
End Page | 28 |
Journal Identifire |
[PISSN] 0018-2052
[EISSN] 2433-7668
[NCID] AA00664312
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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.
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Keywords |
Age-dependent measurement
Box-Cox transformation
Cross-sectional study
Percentile estimation
Local likelihood method
Power-normal-model
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NDC |
Medical sciences [ 490 ]
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Language |
eng
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Resource Type | departmental bulletin paper |
Publisher |
Hiroshima University Medical Press
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Date of Issued | 2006-03 |
Rights |
(c) Hiroshima University Medical Press.
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Publish Type | Version of Record |
Access Rights | open access |
Source Identifier |
[ISSN] 0018-2052
[NCID] AA00664312
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