Efficient statistical modelling of longitudinal data
H Goldstein - Annals of human biology, 1986 - Taylor & Francis
Annals of human biology, 1986•Taylor & Francis
A new class of statistical models is proposed for the analysis of longitudinal data, especially
those from grwoth studies. The models are all derived from a simple univariate two-level
polynomial model. It is shown that they make efficient use of available data, and can handle
a very wide range of problems. They have several important advantages over existing
procedures.
those from grwoth studies. The models are all derived from a simple univariate two-level
polynomial model. It is shown that they make efficient use of available data, and can handle
a very wide range of problems. They have several important advantages over existing
procedures.
Summary
A new class of statistical models is proposed for the analysis of longitudinal data, especially those from grwoth studies. The models are all derived from a simple univariate two-level polynomial model. It is shown that they make efficient use of available data, and can handle a very wide range of problems. They have several important advantages over existing procedures.
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