Dimension Reduction Techniques for Distributional Symbolic Data.

In the framework of symbolic data analysis (SDA), distribution-valued data are defined as multivalued data, where each unit is described by a distribution (e.g., a histogram, a density, or a quantile function) of a quantitative variable.

Predictors of mortality in atypical antipsychotic-treated community-dwelling elderly patients with behavioural and psychological symptoms of dementia: a prospective population-based cohort study from Italy.

Purpose: To evaluate the effect of a broad range of covariates on the survival of a real-life long-term follow-up cohort of community-dwelling patients with behavioural and psychological symptoms of dementia who were new users of atypical antipsychotic medications (APMs).

Methods: This was a prospective cohort study of 1,618 subjects aged ≥65 years with dementia and BPSD ("behavioural and psychological symptoms of dementia") who were new users of atypical APMs and registered in a Dementia Evaluation Unit of Campania Region (Italy) from September 2006 to March 2010. The potential of baseline features to predict mortality was assessed with the Cox proportional hazards model.