Literature DB >> 2626589

Flexible models for the analysis of growth data with an application to height prediction.

H Goldstein1.   

Abstract

We show how recent developments in the theory of multilevel statistical modelling can be applied to the analysis of growth data and in particular to the prediction of adult height. This approach is both statistically efficient and very flexible.

Mesh：

Year:  1989        PMID： 2626589

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN： 0398-7620            Impact factor:   1.019


  2 in total

1.  Influence of socioeconomic conditions on growth in infancy: the 1921 Aberdeen birth cohort.

Authors:  A D Baxter-Jones; A H Cardy; P J Helms; D O Phillips; W C Smith
Journal:  Arch Dis Child       Date:  1999-07       Impact factor: 3.791

2.  Modeling physical growth using mixed effects models.

Authors:  William Johnson; Nagalla Balakrishna; Paula L Griffiths
Journal:  Am J Phys Anthropol       Date:  2013-01       Impact factor: 2.868
  2 in total

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