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Matching and Weighting Methods for Causal Inference

WEBdirectly optimize balance the same idea applied to propensity score. Weighting methods generalize matching methods. Sensitive to propensity score model specification Robust …

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URL: https://imai.fas.harvard.edu/talk/files/Duke13.pdf

Causal Inference with Interference and Noncompliance in Two …

WEBOver the last decade, a significant progress has been made towards causal inference in the presence of such interference between units. Researchers have shown that the two …

Category:  Health Go Health

Causal Inference and Missing Data

WEBdirectly or indirectly causing (caused by) a node. Path: an acyclic sequence of adjacent nodes. Causal path: all arrows pointing away from T and into Y Non-causal path: some …

Category:  Health Go Health

STAT 286/GOV 2003: Causal Inference

WEBThe course will draw upon examples from political science, economics, education, public health, and other disciplines. This course was listed as Stat186/Gov2002 in 2018 and …

Category:  Course Go Health

Causality, Social Sciences, and Statistics

WEBCausality has played a central role in social scientific research Prediction alone cannot help improve theory or policy. making Threats to causal inference: selection bias, missing …

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Introduction to Statistics

WEBPotential Objections to Experiments. 1 Cost. Move-to-Opportunity experiment; $70million, 350,000 people. 2 Ethical concerns. Experiments affecting the real world Denying …

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A General Approach to Causal Mediation Analysis

WEBincluding logit and probit models, for discrete mediators and outcomes as well as non- or semiparametric models. In this article, we propose a general approach that overcomes

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Stratified Randomized Experiments

WEBBox, et al. (2005). Statistics for Experimenters. 2nd eds. Wiley. Basic procedure: Blocking (Stratification): create groups of similar units based on pre-treatment covariates. Block …

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Introduction to Statistical Inference

WEBThree Modes of Statistical Inference. Descriptive Inference: summarizing and exploring data. Inferring “ideal points” from rollcall votes Inferring “topics” from texts and speeches …

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Public Policy for the Poor

WEBBackground We assessed aspects of Seguro Popular, a programme aimed to deliver health insurance, regular and preventive medical care, medicines, and health facilities to 50 …

Category:  Medical,  Medicine Go Health

Matching and Weighting Methods for Causal Inference

WEBdirectly optimize balance the same idea applied to propensity score. Weighting methods generalize matching methods. Sensitive to propensity score model specification Robust …

Category:  Health Go Health

Causal Inference With Interference and Noncompliance in …

WEBIn this article, we show how to analyze two-stage random-ized experiments with both interference and noncompliance (Section 3). In an influential paper, Hudgens and …

Category:  Health Go Health

Effect of Health Insurance in India: A Randomized Controlled Trial

WEBWe report on a large randomized controlled trial of hospital insurance for above-poverty-line Indian households. Households were assigned to free insurance, sale of insurance, sale …

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Statistical Inference and Power Analysis for Direct and Spillover

WEBImai, Kosuke, Zhichao Jiang, and Anup Malani. (2021). ``Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.'' Journal …

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Robust estimation of causal effects via a high-dimensional …

WEBBiometrika (2020), 107,3,pp. 533–554 doi: 10.1093/biomet/asaa020 Printed in Great Britain AdvanceAccess publication 3 June 2020 Robust estimation of causal effects via a high …

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The Essential Role of Pair Matching in Cluster-Randomized …

WEBThe Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation Kosuke Imai

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Discussion: Causal Inference with Latent Variables

WEBConcluding Remarks. Key roles of latent variables in many disciplines Causal inference with latent variables. VanderWeele: latent variable as treatment Blei: latent variable as …

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On the Estimation of Disability-Free Life Expectancy: Sullivan s …

WEBOn the Estimation of Disability-Free Life Expectancy: Sullivan s Method and Its Extension Kosuke I MAI and Samir S ONEJI A rapidly aging population, such as the United States …

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