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Spurious relationship
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1	Is the p-curve always right-skewed in observational research? We are thankful to Simonsohn, Nelson and Simmons (SNS) for the opportunity to directly reply to their blog post that discusses our article about p-hacking and Add to Reading List Source URL: datacolada.org Language: English - Date: 2016-06-08 05:10:46 Statistics Design of experiments Knowledge Science Causal inference Experiments Philosophy of science Formal sciences Spurious relationship Econometrics Confounding Causality
2	CAUSAL INFERENCE AS A MACHINE LEARNING EXERCISE Add to Reading List Source URL: bayes.cs.ucla.edu Language: English - Date: 2012-08-01 18:48:59 Design of experiments Philosophy of science Statistical dependence Causality Spurious relationship Structural equation modeling Confounding Statistical inference Instrumental variable Statistics Econometrics Regression analysis
3	Submitted. TECHNICAL REPORT R-449 February 2015 Add to Reading List Source URL: ftp.cs.ucla.edu Language: English - Date: 2015-02-23 19:32:18 Linear regression Instrumental variable Omitted-variable bias Causality Correlation and dependence Spurious relationship Graphical model Conditioning Control theory Statistics Regression analysis Econometrics
4	Stat 565 Spurious Regression FebCharlotte Wickham Thursday, February 20, 14 Add to Reading List Source URL: stat565.cwick.co.nz Language: English - Date: 2014-02-20 13:56:01 Spurious relationship Statistical dependence Regression analysis Statistics Econometrics Statistical methods
5	Customer-relationship levels from spurious to true relationships Add to Reading List Source URL: www.ihroos.fi Language: English - Date: 2009-11-09 06:12:09 Customer experience management Electronic commerce Relationship marketing Brand loyalty Customer lifetime value Customer relationship management Service quality Customer Loyalty business model Marketing Business Consumer behaviour
6	Where’s the Rigor When You Need It? Nancy Cartwright UCSD and Durham I was charged with the question: When it comes to causality, ‘What do social scientists know?’--and, presumably, ‘How do they know it?’ In ex Add to Reading List Source URL: community.dur.ac.uk Language: English - Date: 2015-05-05 08:26:22 Graphical models Statistical models Conditionals Causality Instrumental variable Randomized controlled trial Structural equation modeling Inductive reasoning Spurious relationship Statistics Econometrics Regression analysis
7	Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression Hakim Sidahmed, Elena Prokofyeva, Matthew Blaschko To cite this version: Add to Reading List Source URL: hal.inria.fr Language: English - Date: 2015-04-07 14:47:10 Regularization Elastic net regularization Logistic regression Tikhonov regularization Stepwise regression Feature selection Multicollinearity Spurious relationship Multinomial logit Statistics Regression analysis Least squares
8	Name 1: _________________________ CS1173 HWP3: Correlation and Modeling Name 2: _________________________ This worksheet is done in pairs. After you are checked off you can leave or work on assignments. Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2015-02-17 19:51:08 Statistical dependence Causality Conditionals Philosophy of science Myopia Correlation and dependence Correlation does not imply causation Spurious relationship Statistics Covariance and correlation Regression analysis
9	Recovering Causal Effects from Selection Bias Elias Bareinboim∗ Jin Tian∗ Computer Science Department Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2014-11-20 21:59:32 Variable Forcing Spurious relationship Mutual information Mathematics Logic XTR
10	Sparse Instrumental Variables (SPIV) for Genome-Wide Studies Felix V. Agakov Public Health Sciences University of Edinburgh [removed] Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 07:29:58 Statistical models Statistical methods Estimation theory Instrumental variable Linear regression Biomarker Causality Mutual information Spurious relationship Statistics Econometrics Regression analysis

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