Browsing FAS Scholarly Articles by Keyword "causal inference"
Now showing items 1-6 of 6
-
CEM: Software for Coarsened Exact Matching
(American Statistical Association, 2009)This program is designed to improve causal inference via a method of matching that is widely applicable in observational data and easy to understand and use (if you understand how to draw a histogram, you will understand ... -
The Estimation of Causal Effects from Observational Data
(Annual Reviews, 1999)When experimental designs are infeasible, researchers must resort to the use of observational data from surveys, censuses, and administrative records. Because assignment to the independent variables of observational data ... -
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
(University of California, Los Angeles, 2011)MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated ... -
Outcome-free Design of Observational Studies: Peer Influence on Smoking
(JSTOR, 2008)For estimating causal effects of treatments, randomized experiments are appropriately considered the gold standard, although they are often infeasible for a variety of reasons. Nevertheless, nonrandomized studies can and ... -
Time Warp: Authorship Shapes the Perceived Timing of Actions and Events
(Elsevier, 2010)It has been proposed that inferring personal authorship for an event gives rise to intentional binding, a perceptual illusion in which one's action and inferred effect seem closer in time than they otherwise would (Haggard, ... -
WhatIF: R Software for Evaluating Counterfactuals
(American Statistical Association, 2005)WhatIf is an R package that implements the methods for evaluating counterfactuals introduced in King and Zeng (2006a) and King and Zeng (2006b). It offers easy-to-use techniques for assessing a counterfactual's model ...