Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction.

By Michael R. Elliott, Joseph J. Gallo, T. Ten Have, Hillary R. Bogner, I. Katz. 2005

88 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Health, Social Psychology

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In Experimental and Cognitive Psychology

1. A. O’Malley

In Health

1. A. O’Malley

Citations in the corpus

• A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use (2010, background): “If the random effect variance is large, each random effect will contribute approximately one parameter to the model; conversely, if the variance is small (suggesting a large amount of shrinkage), the number of random effect parameters will be close to zero (Elliott et al., 2005).”