Unsupervised and Supervised methods of Propensity Score Adjustment for Bias

Documentation for package ‘USPS’ version 1.2-0

USPS-package	Unsupervised and Supervised Propensity Scoring adjustments for Bias and Confounding
lindner	Lindner Center data on 996 PCI patients analyzed by Kereiakes et al.(2000)
plot.SPSloess	Display LOESS Smooth of Outcome by Treatment in Supervised Propensiy Scoring
plot.SPSsmoot	Display Spline Smooth of Outcome by Treatment in Supervised Propensiy Scoring
plot.UPSnnltd	Display plots of the NN/LTD Distribution in Unsupervised Propensiy Scoring
SPSbalan	Test for Within-Bin X-covariate Balance in Supervised Propensiy Scoring
SPSloess	LOESS Smoothing of Outcome by Treatment in Supervised Propensiy Scoring
SPSlogit	Propensity Score prediction of Treatment Selection from Patient Baseline X-covariates
SPSnbins	Change the Number of Bins in Supervised Propensiy Scoring
SPSoutco	Examine Treatment Differences on an Outcome Measure in Supervised Propensiy Scoring
SPSsmoot	Spline Smoothing of Outcome by Treatment in Supervised Propensiy Scoring
UPSaccum	Prepare for Accumulation of (Outcome,Treatment) Results in Unsupervised Propensity Scoring.
UPSaltdd	Artificial Distribution of LTDs from Random Clusters
UPSgraph	Display Sensitivity Analysis Graphic in Unsupervised Propensiy Scoring
UPShclus	Hierarchical Clustering of Patients on X-covariates for Unsupervised Propensiy Scoring
UPSivadj	Instrumental Variable LATE Linear Fitting in Unsupervised Propensiy Scoring
UPSnnltd	Nearest Neighbor Distribution of LTDs in Unsupervised Propensiy Scoring