A semi-parametric method for describing the age-specific distribution of clinical measurements in cross-sectional study.
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 age-dependent 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.
Rahman
Mohd Muzibur
MM
Graduate School of Biomedical Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Satoh
Kenichi
K
Otani
Keiko
K
Kambe
Masayuki
M
Ohtaki
Megu
M
D017677:Age Distribution; D000375:Aging / Q000097:blood*; D002097:C-Reactive Protein / Q000378:metabolism; D003430:Cross-Sectional Studies; D004906:Erythrocyte Count; D005260:Female; D006801:Humans; D018655:Lymphocyte Count; D008274:Magnesium / Q000097:blood; D008297:Male; D009391:Nephelometry and Turbidimetry; D010710:Phosphates / Q000097:blood; D010758:Phosphorus / Q000097:blood; D017967:Zinc Compounds / Q000097:blood
D010710:Phosphates; D017967:Zinc Compounds; C043952:zinc phosphate; D010758:Phosphorus; D002097:C-Reactive Protein; D008274:Magnesium