• 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 non-overlap, estimation ... data support, change the estimand so that inference cannot be made on the sample ... often intended to influence policy, population-level 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 one-sided...
  • 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 Incomplete-Data Perspectives, 73-84). 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 signaling-regulatory pathway inference from cause-effect experiments. Motivation: The complex ... signaling pathways within the cell that connect causal to affected genes on a network ... novel framework, SPINE, for Signaling-regulatory 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 low-dimensional causal/ structural parameters ... Moreover, the methods enable valid post-selection 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...