title: Statistical analysis of complex health and social data.
abstract: The selection of appropriate statistical models is a vital aspect of the analysis of complex health and social data. This paper examines issues related to model selection. It is concluded that the range of methods now available makes old controversies less relevant. Researchers may now look for strategies that combine the advantages of non-parametric and parametric approaches without automatically accepting the limitations of either. Examples of new directions are provided.
authors.affiliation: Statistical Research Unit, Faculty of Medicine, University of Copenhagen, Denmark.
authors.forename: S
authors.initials: S
authors.lastname: Kreiner
mesh_terms: D000704:Analysis of Variance; D003627:Data Interpretation, Statistical; D004812:Epidemiologic Methods; D006801:Humans; D015233:Models, Statistical; D012044:Regression Analysis; D012963:Sociometric Techniques