controlPerf

This function stores parameters for performance calculations

Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.

Kenneth Nieser

QualityMeasure

Methods for Analyzing Quality Measure Performance

controlPerf function

<dl><dt>min.n</dt>
<dd>minimum number of observations per entity</dd>
<dt>alpha</dt>
<dd>statistical significance level to use for confidence intervals</dd>
<dt>n.boots</dt>
<dd>number of bootstraps to use for confidence interval estimation for P/E ratios</dd>
<dt>n.cores</dt>
<dd>number of cores to use for parallel processing</dd></dl>

Arguments

Kenneth Nieser (nieser@stanford.edu)

Author

Parameters for performance calculations — controlPerf

<dl>

<dt>min.n</dt>
<dd>minimum number of observations per entity</dd>


<dt>alpha</dt>
<dd>statistical significance level to use for confidence intervals</dd>


<dt>n.boots</dt>
<dd>number of bootstraps to use for confidence interval estimation for P/E ratios</dd>


<dt>n.cores</dt>
<dd>number of cores to use for parallel processing</dd>

</dl>

controlPerf: Parameters for performance calculations

Description

Usage

Value

Arguments

Author

Examples