Level-adjusted funnel plots based on predicted marginal expectations: an application to prophylactic antibiotics in gallstone surgery
2014 (English)In: Statistics in Medicine, ISSN 0277-6715, E-ISSN 1097-0258, Vol. 33, no 21, 3655-3675 p.Article in journal (Refereed) Published
Funnel plots are widely used to visualize grouped data, for example, in institutional comparison. This paper extends the concept to a multi-level setting, displaying one level at a time, adjusted for the other levels, as well as for covariates at all levels. These level-adjusted funnel plots are based on a Markov chain Monte Carlo fit of a random effects model, translating the estimated model parameters to predicted marginal expectations. Working within the estimation framework, we accommodate outlying institutions using heavy-tailed random effects distributions. We also develop computer-efficient methods to compute predicted probabilities in the case of dichotomous outcome data and various random effect distributions. We apply the method to a data set on prophylactic antibiotics in gallstone surgery.
Place, publisher, year, edition, pages
2014. Vol. 33, no 21, 3655-3675 p.
funnel plot, level adjustment, random effects model, predicted marginal expectation, Markov chain Monte Carlo
Environmental Health and Occupational Health
IdentifiersURN: urn:nbn:se:uu:diva-231975DOI: 10.1002/sim.5677ISI: 000340423700004OAI: oai:DiVA.org:uu-231975DiVA: diva2:747074