Growth models: an interesting approach to study the evolution of the health status of the elderly

Evaluating the impact of changes to services on the health status of frail elderly adults calls for longitudinal studies. Many subjects are however lost during follow-up because of the high incidence of death in this population. Traditional methods of repeated measures analysis are thus inappropriate since they ignore subjects with incomplete follow-up data. This leads to a considerable reduction in sample size and to biases.