funnelModel: Table of results for risk adjusted funnel plots.

In oizin/funnelplot: Create Funnel Plots

Description

Perform risk adjusted cluster (institution) comparison for the purpose of outlier discovery.

Usage

funnelModel(formula, control = pointTarget(), adj = adjParams(), data)

Arguments

formula	a two-sided formula. Either of the form y ~ x1 + x2 | group, or if no covariates use y ~ 1 | group
control	a description of how the funnel plot target and control limits should be constructed. See the control functions pointTarget() and distTarget().
adj	a description of the algorithm that will be used in calculating the expected outcome for each observation for the purpose of casemix adjustment. See adjModel() for more details.
data	a data frame containing the variables named in formula

Author(s)

The package is based on Spiegelhalter (2005) and Jones, Ohlssen & Spiegelhalter (2008). All errors in implementation and are the responsibility of the package author (Oisin Fitzgerald).

oizin/funnelplot documentation built on March 11, 2021, 2:58 p.m.