Multi-level models for longitudinal growth norms

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چکیده

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Multi-level models for longitudinal growth norms.

Multi-level models for estimating conditional and unconditional longitudinal growth norms are presented. The procedure involves transforming the original growth measurements to Normality and modelling these with a two-level random coefficient model. Growth norms for any desired time interval and function can be derived. Height and weight data are used for illustration.

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ژورنال

عنوان ژورنال: Statistics in Medicine

سال: 1997

ISSN: 0277-6715,1097-0258

DOI: 10.1002/(sici)1097-0258(19971215)16:23<2665::aid-sim711>3.0.co;2-v