SimpleTable (version 0.1-2)

summary.SimpleTable: Summary of SimpleTable objects

Description

summary.SimpleTable summarizes a SimpleTable object by printing the mode, mean, standard deviation, and percent% highest density region of the prima facie and sensitivity analysis posterior densities. Large-sample nonparametric bounds for the estimand of interest are also reported. Summaries of the prior distribution are also reported in situations where these summaries are numerically stable.

Usage

"summary"(object, estimand = c("ATE", "ATT", "ATC",  "RR", "RRT", "RRC",  "logRR", "logRRT", "logRRC"),  percent = 95, ...)

Arguments

object

An object of class SimpleTable produced by analyze2x2 or analyze2x2xK that is to be summarized.

estimand

The causal estimand of interest. Options include: ATE (average treatment effect), ATT (average treatment effect on the treated), ATC (average treatment effect on the controls), RR (relative risk), RRT (relative risk on the treated), RRC (relative risk on the controls), logRR (log relative risk), logRRT (log relative risk on the treated), and logRRC (log relative risk on the controls).

percent

A number between 0 and 100 (exclusive) giving the size of the highest posterior density regions to be calculated and printed. Default value is $95$.

...

Other arguments to be passed.

Details

See Quinn (2008) for the a description of these plots along with the associated terminology and notation.

References

Quinn, Kevin M. 2008. ``What Can Be Learned from a Simple Table: Bayesian Inference and Sensitivity Analysis for Causal Effects from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured Confounding.'' Working Paper.

See Also

ConfoundingPlot, analyze2x2, analyze2x2xK, ElicitPsi, plot.SimpleTable

Examples

## Not run: 
# ## Example from Quinn (2008)
# ## (original data from Oliver and Wolfinger. 1999. 
# ##   ``Jury Aversion and Voter Registration.'' 
# ##     American Political Science Review. 93: 147-152.)
# ##
# ##        Y=0       Y=1
# ## X=0    19        143
# ## X=1    114       473
# ##
# 
# ## a prior belief in an essentially negative monotonic treatment effect 
# S.mono <- analyze2x2(C00=19, C01=143, C10=114, C11=473, 
#                      a00=.25, a01=.25, a10=.25, a11=.25,
# 		     b00=0.02, c00=10, b01=25, c01=3, 
#                      b10=3, c10=25, b11=10, c11=0.02)
# 
# ## ATE (the default)
# summary(S.mono)
# 
# ## ATC instead of ATE
# summary(S.mono, estimand="ATC")
# 
# ## End(Not run)