Positive and negative affect data are often collected over time in psychiatric care settings, yet no generally accepted means are available to relate these data to useful diagnoses or treatments. Latent class analysis attempts data reduction by classifying subjects into one of K unobserved classes based on observed data. Latent class models have recently been… Continue reading Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction

Abstract The majority of studies examining the relation between neighborhood environments and health have used census-based indicators to characterize neighborhoods. These studies have shown that neighborhood socieconomic characteristics are associated with a range of health outcomes. Establishing if these associations reflect causal relations requires testing hypotheses regarding how specific features of neighborhoods are related to… Continue reading Reliability of self-reported neighborhood characteristics