Spurious relationship

Results: 45



#Item
1Is 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

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

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Source URL: datacolada.org

Language: English - Date: 2016-06-08 05:10:46
2CAUSAL INFERENCE AS A MACHINE LEARNING EXERCISE

CAUSAL INFERENCE AS A MACHINE LEARNING EXERCISE

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Source URL: bayes.cs.ucla.edu

Language: English - Date: 2012-08-01 18:48:59
3Submitted.  TECHNICAL REPORT R-449 February 2015

Submitted. TECHNICAL REPORT R-449 February 2015

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Source URL: ftp.cs.ucla.edu

Language: English - Date: 2015-02-23 19:32:18
4Stat 565 Spurious Regression FebCharlotte Wickham Thursday, February 20, 14

Stat 565 Spurious Regression FebCharlotte Wickham Thursday, February 20, 14

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Source URL: stat565.cwick.co.nz

Language: English - Date: 2014-02-20 13:56:01
5Customer-relationship levels from spurious to true relationships

Customer-relationship levels from spurious to true relationships

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Source URL: www.ihroos.fi

Language: English - Date: 2009-11-09 06:12:09
6Where’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

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

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Source URL: community.dur.ac.uk

Language: English - Date: 2015-05-05 08:26:22
7Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression Hakim Sidahmed, Elena Prokofyeva, Matthew Blaschko  To cite this version:

Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression Hakim Sidahmed, Elena Prokofyeva, Matthew Blaschko To cite this version:

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Source URL: hal.inria.fr

Language: English - Date: 2015-04-07 14:47:10
8Name 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.

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.

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Source URL: www.cs.utsa.edu

Language: English - Date: 2015-02-17 19:51:08
9Recovering Causal Effects from Selection Bias Elias Bareinboim∗ Jin Tian∗  Computer Science Department

Recovering Causal Effects from Selection Bias Elias Bareinboim∗ Jin Tian∗ Computer Science Department

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Source URL: www.cs.iastate.edu

Language: English - Date: 2014-11-20 21:59:32
10Sparse Instrumental Variables (SPIV) for Genome-Wide Studies Felix V. Agakov Public Health Sciences University of Edinburgh [removed]

Sparse Instrumental Variables (SPIV) for Genome-Wide Studies Felix V. Agakov Public Health Sciences University of Edinburgh [removed]

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2012-04-27 07:29:58