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Causal model
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171	Causation and Preemption Ned Hall and L. A. Paul §1 Introduction Causation is a deeply intuitive and familiar relation, gripped powerfully by common sense. Or so it seems. But as is typical in philosophy, deep intuitive Add to Reading List Source URL: lapaul.org Language: English - Date: 2008-09-19 22:56:08 Philosophy of science Tort law Causation Counterfactual conditional Indeterminism Causal model Probabilistic causation Correlation does not imply causation Law Causality Conditionals
172	P2: ABC JWST165-Berzuini February 21, [removed]:27 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-08-28 13:03:32 Causality Interaction Confounding Randomization Randomized experiment Rubin causal model Statistics Design of experiments Science
173	A logic model is a diagram and text that describes/illustrates the logical (causal) relationships among program elements and the problem to be solved, thus defining measurements of success. Add to Reading List Source URL: ojjdp.gov - Date: 2008-11-25 16:50:02
174	A logic model is a diagram and text that describes/illustrates the logical (causal) relationships among program elements and the problem to be solved, thus defining measurements of success. Add to Reading List Source URL: www.ojjdp.gov - Date: 2008-11-25 16:50:02
175	VSM 1 INSTITUTE OF EDUCATION SCIENCES FIFTH ANNUAL IES RESEARCH CONFERENCE Add to Reading List Source URL: ies.ed.gov Language: English - Date: 2010-11-02 13:54:15 Causality Jerzy Neyman Randomized experiment Psychology Randomization Rubin causal model Statistics Science Design of experiments
176	Senate Office of Education and Training Connecting the Dots: Statistics, Causality, and Policy Policy making frequently involves a decision between two or more options, such as implementation of a new program and the sta Add to Reading List Source URL: www.amstat.org Language: English - Date: 2012-09-06 12:39:23 Philosophy of science Causality Conditionals Statistical inference Rubin causal model Science Information Statistics
177	Causality Causality refers to the relationship between events where one set of events (the effects) is a direct consequence of another set of events (the causes). Causal inference is the process by which one can use data Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2010-10-24 01:49:38 Conditionals Observational study Philosophy of science Rubin causal model Causality Counterfactual conditional Average treatment effect Donald Rubin Interaction Statistics Science Econometrics
178	JSS Journal of Statistical Software May 2011, Volume 42, Issue 7. http://www.jstatsoft.org/ Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2011-04-23 12:05:48 Observational study Medical statistics Regression analysis Propensity score matching Propensity score Rubin causal model Matching Ignorability Experiment Statistics Econometrics Design of experiments
179	The Neyman-Rubin Model of Causal Inference and Estimation via Matching Methods∗ Forthcoming in The Oxford Handbook of Political Methodology, Janet Box-Steffensmeier, Henry Brady, and David Collier, eds. Jasjeet S. Sek Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2007-11-16 18:57:40 Observational study Regression analysis Parametric statistics Rubin causal model Propensity score Donald Rubin Ignorability Linear regression Average treatment effect Statistics Econometrics Design of experiments
180	Making Operation-based CRDTs Operation-based Carlos Baquero, Paulo S´ergio Almeida, and Ali Shoker HASLab/INESC TEC and Universidade do Minho, Portugal Abstract. Conflict-free Replicated Datatypes (CRDT) can simplify t Add to Reading List Source URL: gsd.di.uminho.pt Language: English - Date: 2014-03-20 10:53:31 Causal consistency Consensus Model theory Rope Causality Vector clock Computer programming Computing Fault-tolerant computer systems Distributed algorithms

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