UPSaccum: Prepare for Accumulation of (Outcome,Treatment) Results in...

In LocalControl: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence

Prepare for Accumulation of (Outcome,Treatment) Results in Unsupervised Propensity Scoring

Description

Specify key result accumulation parameters: Treatment t-Factor, Outcome Y-variable, faclev setting, scedasticity assumption, and name of the UPSgraph() data accumulation object.

Usage

UPSaccum(envir, dframe, trtm, yvar, faclev = 3, scedas = "homo")

Arguments

envir	name of the working local control classic environment.
dframe	Name of data.frame containing the X, t & Y variables.
trtm	Name of treatment factor variable.
yvar	Name of outcome Y variable.
faclev	Maximum number of different numerical values an outcome variable can assume without automatically being converted into a "factor" variable; faclev=1 causes a binary indicator to be treated as a continuous variable determining an average or proportion.
scedas	Scedasticity assumption: "homo" or "hete"

Details

The second phase in an Unsupervised Propensity Scoring analysis is to prepare to accumulate results over a wide range of values for "Number of Clusters." As the number of such clusters increases, individual clusters will tend to become smaller and smaller and, thus, more and more compact in covariate X-space.

Value

• hiclusName of a diana, agnes or hclust object created by UPShclus().

• dframeName of data.frame containing the X, t & Y variables.

• trtmName of treatment factor variable.

• yvarName of outcome Y variable.

• faclevMaximum number of different numerical values an outcome variable can assume without automatically being converted into a "factor" variable; faclev=1 causes a binary indicator to be treated as a continuous variable determining a proportion.

• scedasScedasticity assumption: "homo" or "hete"

• accobjName of the object for accumulation of I-plots to be ultimately displayed using UPSgraph().

• nnymaxMaximum NN LTD Standard Error observed; Upper NN plot limit; initialized to zero.

• nnxminMinimum NN LTD observed; Left NN plot limit; initialized to zero.

• nnxmaxMaximum NN LTD observed; Right NN plot limit; initialized to zero.

Author(s)

Bob Obenchain <[e-mail]>

References

Obenchain RL. (2004) Unsupervised Propensity Scoring: NN and IV Plots. Proceedings of the American Statistical Association (on CD) 8 pages.

Obenchain RL. (2011) USPSinR.pdf USPS R-package vignette, 40 pages.

See Also

UPSnnltd, UPSivadj and UPShclus.

LocalControl documentation built on May 21, 2022, 1:05 a.m.