drugcost


These data are to try to understand the effect of health plan characteristics
on drug costs.  Health plans vary in size, given as member months.  Some plans
use generic drugs more than others.  All differ on copayments.  Some have
strong restrictions on which drugs can be dispensed
value of RI=0 means that all drugs are dispensed, RI=100 means that only
one per category is avaiable.  The goal is to determine the terms that are
related to cost, and in particular to understand the role of GS and RI in
determining cost.


datasets

This package is a companion to the textbook S. Weisberg (2005),
"Applied Linear Regression," 3rd edition, Wiley. It includes all the
data sets discussed in the book (except one), and a few functions that
are tailored to the methods discussed in the book.  As of version 2.0.0,
this package depends on the car package. Many functions formerly
in alr3 have been renamed and now reside in car.
Data files have beeen lightly modified to make some data columns row labels.

Sanford Weisberg

alr3

Data to accompany Applied Linear Regression 3rd edition

drugcost function

This data frame uses a short code name for the drug plan as row
labels and contains the following columns:
 <dl>
    <dt>COST</dt><dd>
 Ave. cost to plan for 1 prescription for 1 day
    </dd> <dt>RXPM</dt><dd>
 Number of prescriptions per member per year
    </dd> <dt>GS</dt><dd>
 Percent generic substitution, number between 0 (no substitution) to 100 (always use generic substitute)
    </dd> <dt>RI</dt><dd>
 Restrictiveness index (0=none, 100=total)
    </dd> <dt>COPAY</dt><dd>
 Average Rx copayment
    </dd> <dt>AGE</dt><dd>
 Average age of member
    </dd> <dt>F</dt><dd>
 Percent female members
    </dd> <dt>MM</dt><dd>
 Member months, a measure of the size of the plan
    </dd> </dl> 

drugcost: Drug cost.

Description

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Format

Source

References

Examples