Abstract:
: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.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Lindhagen L,Darkahi B,Sandblom G,Berglund Ldoi
10.1002/sim.5677subject
Has Abstractpub_date
2014-09-20 00:00:00pages
3655-75issue
21eissn
0277-6715issn
1097-0258journal_volume
33pub_type
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pub_type: 杂志文章
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