Description: A sensitivity analysis approach for unmeasured confounding in observational data with multiple treatments and a binary outcome. This approach derives the general bias formula and provides adjusted causal effect estimates in response to various assumptions about the degree of unmeasured confounding. Nested multiple imputation is embedded within the Bayesian framework to integrate   uncertainty about the sensitivity parameters and sampling variability.  Bayesian Additive Regression Model (BART) is used for outcome modeling. The causal estimands are the conditional average treatment effects (CATE) based on the risk difference.  For more details, see paper: Hu L et al. (2020) A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data <arXiv:2012.06093>.

Title: Stochastic Augmentation of Matched Data Using Restriction
Description: Augmenting a matched data set by generating multiple stochastic, matched samples from the data using a
multi-dimensional histogram constructed from dropping the input matched data into a multi-dimensional grid built on
the full data set. The resulting stochastic, matched sets will likely provide a collectively higher coverage of the full
data set compared to the single matched set. Each stochastic match is without duplication, thus allowing downstream
validation techniques such as cross-validation to be applied to each set without concern for overfitting.

Title: Sensitivity Analysis of a Meta-analysis with Unpublished but
Author: Programmed by Noory Kim, with advising by Shrikant Bangdiwala
and Gerald Gartlehner. Thanks to Guido Schwartzer for
peer-reviewing the code. Sponsored by UNCOVER.
Description: This package contains R functions to gauge the impact of
unpublished studies upon the meta-analytic summary effect of a
Packaged: 2012-12-19 01:04:51 UTC; tamarahowerton

Author: Noory Y. Kim. Advisors: Shrikant I. Bangdiwala, Gerald
Maintainer: Noory Y. Kim <noory@live.unc.edu>
set of published studies. (Credits: The research leading to
these results has received funding from the European Union's
Seventh Framework Programme (FP7/2007-2013) under grant
Packaged: 2013-04-29 19:24:52 UTC; tamarahowerton