The heteroscedasticity impact in constructing age-specific reference range
碩士 === 國立陽明大學 === 公共衛生研究所 === 95 === The reference range of medical data is commonly used in reading biomedical measurement. When the measurement varies with age, an age-specific reference range is required. The construction of reference range is based on statistical concerns, which may be non-param...
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ndltd-TW-095YM0050580262015-10-13T14:13:12Z http://ndltd.ncl.edu.tw/handle/52655876953171811296 The heteroscedasticity impact in constructing age-specific reference range 異質性變異數問題對建立年齡特定參考值的影響 Hsin-Yi Huang 黃欣儀 碩士 國立陽明大學 公共衛生研究所 95 The reference range of medical data is commonly used in reading biomedical measurement. When the measurement varies with age, an age-specific reference range is required. The construction of reference range is based on statistical concerns, which may be non-parametric or parametric approach. In parametric approach, the regression model is an easy access method, which the age effect may be removed and base on the residual part for further constructing reference range. But, when the data variation increases with age, it will cause a heteroscedasticity problem in statistics. In this study, the impact of heteroscedasticity in constructing age-specific reference range will be investigated. The four adjusting methods, weighted least squares, and the methods referred by Goldstein, H. (1972), Royston, P. (1991) and Altman, D.G. (1993), will be compared. Two data sets, fetal data and prostate-specific antigen (PSA), are used for illustrations. Chong-Yau Fu 傅瓊瑤 2007 學位論文 ; thesis 66 zh-TW |
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碩士 === 國立陽明大學 === 公共衛生研究所 === 95 === The reference range of medical data is commonly used in reading biomedical measurement. When the measurement varies with age, an age-specific reference range is required. The construction of reference range is based on statistical concerns, which may be non-parametric or parametric approach.
In parametric approach, the regression model is an easy access method, which the age effect may be removed and base on the residual part for further constructing reference range. But, when the data variation increases with age, it will cause a heteroscedasticity problem in statistics.
In this study, the impact of heteroscedasticity in constructing age-specific reference range will be investigated. The four adjusting methods, weighted least squares, and the methods referred by Goldstein, H. (1972), Royston, P. (1991) and Altman, D.G. (1993), will be compared.
Two data sets, fetal data and prostate-specific antigen (PSA), are used for illustrations.
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author2 |
Chong-Yau Fu |
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Chong-Yau Fu Hsin-Yi Huang 黃欣儀 |
author |
Hsin-Yi Huang 黃欣儀 |
spellingShingle |
Hsin-Yi Huang 黃欣儀 The heteroscedasticity impact in constructing age-specific reference range |
author_sort |
Hsin-Yi Huang |
title |
The heteroscedasticity impact in constructing age-specific reference range |
title_short |
The heteroscedasticity impact in constructing age-specific reference range |
title_full |
The heteroscedasticity impact in constructing age-specific reference range |
title_fullStr |
The heteroscedasticity impact in constructing age-specific reference range |
title_full_unstemmed |
The heteroscedasticity impact in constructing age-specific reference range |
title_sort |
heteroscedasticity impact in constructing age-specific reference range |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/52655876953171811296 |
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