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 |