Introduces statistical methods for evaluating differences in patterns of time to response between two subject groups to determine better therapy. Uses data from hypothetical clinical trial to illustrate two elementary methods for analyzing survival data. Discusses generalization of methods to incorporate covariates. Concludes with general…

Discusses issues to consider when investigating behavioral effect of foods, including idiosyncratic response to particular food, necessity of identifying individual sensitive to food being studied, necessity of including washout phase, consideration of withdrawal effects, assessment of change, dietary challenge, and time parameter necessary for…

Develops random-effects probit model for case in which outcome of interest is series of correlated binary responses, obtained as product of longitudinal response process where individual is repeatedly classified on binary outcome variable or in multilevel or clustered problems in which individuals within groups are considered to share…

Notes that conventional statistical models are not suited for analysis of nonindependent observations produced by family systems. Demonstrates how structural equation modeling enables the study of family processes in a way that is consistent with a systems perspective. Uses analysis of perceived coerciveness in two-parent, two-child families to…

Empirical studies based on psychoanalytic model have concentrated on study of therapeutic process and diagnostic groups such as borderline personality disorder (BPD). Work in BPD provides paradigm for future approaches in study of second-order inferences removed from immediate observational field. Concept of structure may be clarified by empirical…

Reviews concepts of aptitude and aptitude-treatment interaction (ATI) and summarizes lessons learned in ATI research on educational treatments to help ATI research on psychotherapeutic treatments. Research design and data analysis recommendations address aptitude distributions, multivariate aptitude complexes, detective work with scatterplots,…

Defines structural equation modeling as comprehensive, flexible approach to research design and data analysis. Provides conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.…