Causal inference

Results: 218



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1Causal Inference with Observational Data∗ Justin Esarey† June 16, 2015 Abstract Much of our interest in studying the world stems from the desire to change that

Causal Inference with Observational Data∗ Justin Esarey† June 16, 2015 Abstract Much of our interest in studying the world stems from the desire to change that

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Source URL: www.justinesarey.com

Language: English - Date: 2018-05-19 15:04:29
    2Towards an integrated theory of causal scenarios and evidential arguments Floris BEX Department of Information and Computing Sciences, Utrecht University Abstract. The process of proof is one of inference to the best ex

    Towards an integrated theory of causal scenarios and evidential arguments Floris BEX Department of Information and Computing Sciences, Utrecht University Abstract. The process of proof is one of inference to the best ex

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    Source URL: comma2014.arg.dundee.ac.uk

    Language: English - Date: 2014-08-27 11:30:50
      3CHAPTER 23 Causal inference using multilevel models Causal inference using regression has an inherent multilevel structure—the data give comparisons between units, but the desired causal inferences are within units. E

      CHAPTER 23 Causal inference using multilevel models Causal inference using regression has an inherent multilevel structure—the data give comparisons between units, but the desired causal inferences are within units. E

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      Source URL: www.stat.columbia.edu

      - Date: 2007-12-08 21:40:08
        4Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes

        Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes

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        Source URL: arxiv.org

        - Date: 2013-12-01 22:17:09
          5CHAPTER 10 Causal inference using more advanced models Chapter 9 discussed situations in which it is dangerous to use a standard linear regression of outcome on predictors and an indicator variable for estimating causal

          CHAPTER 10 Causal inference using more advanced models Chapter 9 discussed situations in which it is dangerous to use a standard linear regression of outcome on predictors and an indicator variable for estimating causal

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          Source URL: www.stat.columbia.edu

          - Date: 2007-12-08 21:40:02
            6CHAPTER 9 Causal inference using regression on the treatment variable 9.1 Causal inference and predictive comparisons So far, we have been interpreting regressions predictively: given the values of several

            CHAPTER 9 Causal inference using regression on the treatment variable 9.1 Causal inference and predictive comparisons So far, we have been interpreting regressions predictively: given the values of several

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            Source URL: www.stat.columbia.edu

            - Date: 2007-12-08 21:39:55
              7Causal inference in statistics: An overview

              Causal inference in statistics: An overview

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              Source URL: apophenia.wdfiles.com

              - Date: 2012-09-17 04:41:33
                8

                Homework One In the paper on your reading list, Daniel Ho, Kosuke Imai, Gary King, and Elizabeth Stuartforthcoming. _Matching_as_Nonparametric_Preprocessing_for_Improving_Parametric_Causal_Inference_. Political A

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                Source URL: mason.gmu.edu

                - Date: 2007-01-31 10:35:53
                  9USING CAUSAL INFERENCE TO DETECT DIRECTIONAL TENDENCIES IN SEMANTIC EVOLUTION JOHANNES DELLERT Seminar f¨ur Sprachwissenschaft, Universit¨at T¨ubingen T¨ubingen, Germany

                  USING CAUSAL INFERENCE TO DETECT DIRECTIONAL TENDENCIES IN SEMANTIC EVOLUTION JOHANNES DELLERT Seminar f¨ur Sprachwissenschaft, Universit¨at T¨ubingen T¨ubingen, Germany

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                  Source URL: www.sfs.uni-tuebingen.de

                  - Date: 2016-01-18 16:51:55