Statistical Challenges in Studying Complex and Changing Families

This paper describes challenges of studying complex and changing families and provides suggestions for methods of analyses to study these family systems. Five common problems that NIMH-funded investigators have encountered in analyzing family based studies are addressed and analytic solutions for addressing these problems are illustrated using data from Family HIV/AIDS projects. The problems discussed in the paper are (1) differences in subgroup responses to interventions; (2) longitudinal changes in family relationships and covariates that vary by group in nested designs; (3) dealing with missing data over time from attrition and planned missing data due to death; (4) dealing with multiple reports from different family members; and (5) developing concordance measures among family members. The use of multi-level and growth curve modeling techniques to address these problems is illustrated with some of the studies.