• CausalImpact

  • Referenced in 16 articles [sw12397]
  • implements an approach to estimating the causal effect of a designed intervention on a time...
  • CreditRisk+

  • Referenced in 44 articles [sw31697]
  • though there is no causal link between them. The effects of these background factors...
  • TETRAD

  • Referenced in 441 articles [sw12177]
  • estimates, tests, predicts with, and searches for causal and statistical models ... ability to calculate predictions of the effects of interventions or experiments based on a model...
  • mediation

  • Referenced in 16 articles [sw04536]
  • addition to the estimation of causal mediation effects, the software also allows researchers to conduct...
  • rdrobust

  • Referenced in 7 articles [sw16277]
  • usually employed to study the (local) causal effect of a treatment, intervention or policy. This...
  • PenPC

  • Referenced in 7 articles [sw25384]
  • understanding the underlying DAG and causal effects can be assessed from the skeleton when...
  • dagitty

  • Referenced in 6 articles [sw16593]
  • computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications...
  • ipw

  • Referenced in 5 articles [sw24292]
  • used as weights when estimating causal effects from observational data via marginal structural models. Both...
  • gformula

  • Referenced in 3 articles [sw37467]
  • used to estimate the causal effect of time-varying exposures on an outcome ... direct and indirect effects when the causal effect of the exposures on an outcome...
  • EValue

  • Referenced in 4 articles [sw34331]
  • proportion of studies with true causal effect sizes more extreme than a specified threshold...
  • bpbounds

  • Referenced in 2 articles [sw37356]
  • Nonparametric bounds for the causal effect in a binary instrumental-variable model. Instrumental variables ... used to make inferences about causal effects in the presence of unmeasured confounding ... intervention probabilities and the average causal effect. We have implemented these bounds in two commands...
  • CausalFX

  • Referenced in 2 articles [sw15417]
  • package CausalFX: Methods for Estimating Causal Effects from Observational Data. Estimate causal effects...
  • txshift

  • Referenced in 2 articles [sw35166]
  • package txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions. Efficient estimation ... population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step ... minimum loss estimators are implemented for a causal parameter defined as the counterfactual mean...
  • ArCo

  • Referenced in 3 articles [sw27883]
  • Artificial Counterfactual (ArCo) methodology to estimate causal effects of an intervention (treatment) on aggregated data...
  • GANDissect

  • Referenced in 3 articles [sw42344]
  • dissection method. Then, we quantify the causal effect of interpretable units by measuring the ability...
  • overlap

  • Referenced in 1 article [sw34699]
  • Estimating population average causal effects in the presence of non-overlap: the effect of natural ... estimate population or sample average causal effects. When data suffer from non-overlap, estimation ... ability to estimate population average causal effects. We seek to make two contributions on this ... Bayesian framework to estimate population average causal effects with minor model dependence and appropriately large...
  • causalweight

  • Referenced in 2 articles [sw35698]
  • Double Machine Learning. Various estimators of causal effects based on inverse probability weighting, doubly robust ... average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects...
  • CAnoVa

  • Referenced in 1 article [sw34658]
  • theory of individual and average causal effects is mostly due to the approach developed ... example, the link between unconfoundedness and causal unbiasedness. This approach has also allowed ... confounding and for testing for (average) causal effects. The scope of this contribution ... test for confounding and for causal effects even in case of designs with multiple treatment...
  • ivqte

  • Referenced in 2 articles [sw37478]
  • instrumental-variable estimator for unconditional quantile treatment effects proposed by Frölich and Melly ... implemented instrumental-variable procedures estimate the causal effects for the subpopulation of compliers...
  • InvariantCausalPrediction

  • Referenced in 2 articles [sw23428]
  • Invariant Causal Prediction. Confidence intervals for causal effects, using data collected in different experimental...