1997
DOI: 10.1111/1467-985x.00045
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A Comparison of Statistical Methods for Age-related Reference Intervals

Abstract: Age-speci®c reference intervals are commonly used in the routine monitoring of individuals, where interest lies in the detection of extreme values, possibly indicating abnormality. Here, a review is given of the wide range of statistical techniques which have been proposed for the construction of these intervals and issues such as the estimation of con®dence bands and goodness of ®t are discussed. Three methods, thought to be the most widely applied approaches, are considered in more detail. Comparisons are ma… Show more

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Cited by 98 publications
(92 citation statements)
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“…To our knowledge, these are the first NS-specific growth references in an Asian population. They were constructed by the LMS method, which we believe to be one of the most widely applied approaches (23). The LMS method is applicable to not only cross-sectional data but also longitudinal data, if all subjects were measured broadly and the number of measurements per individual did not reflect the growth charts (24).…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, these are the first NS-specific growth references in an Asian population. They were constructed by the LMS method, which we believe to be one of the most widely applied approaches (23). The LMS method is applicable to not only cross-sectional data but also longitudinal data, if all subjects were measured broadly and the number of measurements per individual did not reflect the growth charts (24).…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, we believe that new Japanese references have been successfully produced and can be adequately used from birth to senescence. The newly established reference values were constructed by the LMS method with all subjects together, which we believe is one of the most widely applicable approaches for age-related reference intervals [36]. There were three reasons for our adopting the LMS method to construct the reference charts, although other investigators have used other statistical methods such as the polynominal equation model [29] and quantile regression model [33].…”
Section: Figmentioning
confidence: 99%
“…When we utilize these references to analyze many measurements, SDS is very useful for both clinical management and research purposes. The third reason was that in the LMS method maximum penalized likelihood was used to estimate the age-related curves for each of L, M, and S by natural cubic splines, which indicated that subjective grouping step was removed and the curve fitting across age was controlled directly by the values of equivalent degrees of freedom for three smoothing parameters [36]. Actually, adopting the LMS method with all subjects together which included adequate number of subjects for smoothing centile curves, we could represent the rapid decline from puberty to early adulthood smoothly in the newly established centile curves, compared with those established in the previous studies [10,[28][29][30][31], although numbers of subjects around 16 years of age were very small.…”
Section: Figmentioning
confidence: 99%
“…A variety of statistical techniques for constructing age-specific reference values are available (27). Previous comparable studies investigating reference values for streptococcal serology have used nonparametric calculations by pooling data by age group and calculating an 80th centile cutoff value for each of the age groups (7,9).…”
mentioning
confidence: 99%