
overlap
 Referenced in 1 article
[sw34699]
 station exposure on cancer mortality Most causal inference studies rely on the assumption of overlap ... estimate population or sample average causal effects. When data suffer from nonoverlap, estimation ... data support, change the estimand so that inference cannot be made on the sample ... often intended to influence policy, populationlevel inference may be critical and changes...

mwa
 Referenced in 1 article
[sw23433]
 package mwa: Causal Inference in Spatiotemporal Event Data. Matched Wake Analysis (mwa) grants insights into...

aciccomp2016
 Referenced in 1 article
[sw30290]
 simulations from the 2016 Atlantic Causal Inference competition...

cin
 Referenced in 1 article
[sw23427]
 package cin: Causal Inference for Neuroscience. Many experiments in neuroscience involve randomized and fast stimulation ... This package provide valid statistical tools with causal interpretation under these challenging settings, without imposing...

MatchingFrontier
 Referenced in 1 article
[sw23426]
 Size Frontier in Matching Methods for Causal Inference. Returns the subset of the data with ... Also includes tools for the estimation of causal effects for each subset size, functions...

treatSens
 Referenced in 1 article
[sw23421]
 package treatSens: Sensitivity Analysis for Causal Inference. Utilities to investigate sensitivity to unmeasured confounding...

multiPIM
 Referenced in 1 article
[sw24398]
 Performs variable importance analysis using a causal inference approach. This is done by fitting Population...

qualCI
 Referenced in 1 article
[sw23424]
 package qualCI: Causal Inference with Qualitative and Ordinal Information on Outcomes. Exact onesided...

kpcalg
 Referenced in 1 article
[sw26711]
 algorithm for causal structure learning and causal inference using graphical models. kPC is a version...

doseresponse
 Referenced in 1 article
[sw30475]
 Imbens (2004, Applied Bayesian Modeling and Causal Inference from IncompleteData Perspectives, 7384). Then...

coroICA
 Referenced in 1 article
[sw34908]
 applied in the context of causal inference. In addition to our theoretical framework, we provide...

MRPC
 Referenced in 1 article
[sw24677]
 MRPC: An R package for accurate inference of causal graphs. We present MRPC...

SimpleTable
 Referenced in 1 article
[sw23431]
 package SimpleTable: Bayesian Inference and Sensitivity Analysis for Causal Effects from ... methods to conduct Bayesian inference and sensitivity analysis for causal effects from...

IDTxl
 Referenced in 3 articles
[sw25603]
 measures: 1) For network inference: multivariate transfer entropy (TE)/Granger causality (GC), multivariate mutual information...

CompareCausalNetworks
 Referenced in 0 articles
[sw17930]
 Algorithm), ’RFCI’ (really fast causal inference) (all from package ’pcalg’) and regression...

SPINE
 Referenced in 5 articles
[sw29309]
 SPINE: a framework for signalingregulatory pathway inference from causeeffect experiments. Motivation: The complex ... signaling pathways within the cell that connect causal to affected genes on a network ... novel framework, SPINE, for Signalingregulatory Pathway INferencE. The framework aims at explaining gene expression ... constructed, and signaling pathways connecting the causal gene to the affected genes are searched...

hdm
 Referenced in 4 articles
[sw21313]
 inference. Efficient estimators and uniformly valid confidence intervals for various lowdimensional causal/ structural parameters ... Moreover, the methods enable valid postselection inference and rely on a theoretically grounded, data...

LDpred
 Referenced in 1 article
[sw33851]
 between markers. The method infers the posterior mean causal effect size of each marker using...

tlrider
 Referenced in 1 article
[sw33982]
 example, we consider statistical inference on a simple causal quantity that is ubiquitous...

greedyBAPs
 Referenced in 1 article
[sw24158]
 structures. This allows us to infer lower bounds of causal effects. We also present applications...