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Causal inference
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181	Statistics and Causal Inference: Comment: Which Ifs Have Causal Answers Donald B. Rubin Journal of the American Statistical Association, Vol. 81, No[removed]Dec., 1986), pp[removed]Stable URL: http://links.jstor.org/sic Add to Reading List Source URL: www.ipc-undp.org Language: English - Date: 2013-06-16 11:15:25 Statistical inference Design of experiments Philosophy of science Scientific method Null hypothesis Causality F-test Statistical hypothesis testing Alternative hypothesis Statistics Science Hypothesis testing
182	Inference of Causal Networks from Time-course Transcription Data in Response to a2 Gy Challenge Dose of Ionizing Radiation with or without a 10 cGy Priming Dose Add to Reading List Source URL: lowdose.energy.gov Language: English - Date: 2012-02-28 17:55:27 Memory Perception Priming Epistemology Ionizing radiation Transcriptome Mind Causality Radiobiology Biology Cognition
183	Political Analysis Advance Access published August 23, 2011 doi:[removed]pan/mpr013 Causal Inference without Balance Checking: Coarsened Exact Matching Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-05 00:39:56 Design of experiments Observational study Regression analysis Medical statistics Propensity score matching Matching Propensity score Average treatment effect Experiment Statistics Econometrics Science
184	How Coarsening Simplifies Matching-Based Causal Inference Theory∗ Stefano M. Iacus† Gary King‡ Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-05 00:20:52 Design of experiments Observational study Regression analysis Medical statistics Propensity score Average treatment effect Matching Random variable Statistical power Statistics Science Econometrics
185	Review Essay Causality and Statistical Learning1 Counterfactuals and Causal Inference: Methods and Principles for Social Research. By Stephen L. Morgan and Christopher Winship. New York: Cambridge University Press, 2007. Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2011-11-16 22:29:50 Causality Regression analysis Conditionals Statistical methods Instrumental variable Structural equation modeling Counterfactual conditional Confounding Causal model Statistics Science Econometrics
186	BIOSTATISTICS SEMINAR Fan Li, PhD Assistant Professor Duke University Weighting Beyond Horvitz-Thompson in Causal Inference Add to Reading List Source URL: sph.unc.edu Language: English - Date: 2014-03-12 11:03:50 Biostatistics Propensity score Regression analysis Weighting Causality Propensity score matching Statistics Econometrics Science
187	Evidence on the deleterious impact of sustained use of polynomial regression on causal inference∗ Andrew Gelman† 2 Mar[removed]Abstract Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-03-10 09:28:01 Design of experiments Observational study Evaluation methods Polynomial regression Linear regression Robust regression Regression discontinuity design Quasi-experiment Causality Statistics Regression analysis Econometrics
188	Package ‘mwa’ July 30, 2014 Type Package Title MWA package for causal inference in spatiotemporal event data Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-30 08:58:02 Data Evaluation methods Research methods Actuarial science Regression analysis Causality Statistics Java Spacetime Information Science Econometrics
189	A Bayesian Non-Parametric Causal Inference Model for Comparative Effectiveness Research Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-31 10:27:21 econometrics Motivation Dirichlet process Behavior Statistics Biostatistics Propensity score
190	Foundations of Causal Inference ministically given by its parents and the noise variable then translates into postulating that the mechanism generating xj from its parents and its noise does not generate any additional R Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2012-12-21 09:36:15 Regression analysis Theoretical physics Graphical models Causality Structural equation modeling Causal structure Information theory Confounding Variable Statistics Econometrics Statistical methods

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