Selection bias

Known as: Law of selection, Observation selection bias, Selection artefact 
Selection bias is the selection of individuals, groups or data for analysis in such a way that proper randomization is not achieved, thereby ensuring… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1976-2018
05010015019762018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Selection bias, caused by preferential exclusion of samples from the data, is a major obstacle to valid causal and statistical… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2010
Highly Cited
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2008
Highly Cited
2008
This paper presents a theoretical analysis of sample selection bias correction. The sample bias correction technique commonly… (More)
  • table 1
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
Is this relevant?
Highly Cited
2006
Highly Cited
2006
We consider the scenario where training and test data are drawn from different distributions, commonly referred to as sample… (More)
  • figure 1
  • figure 2
  • table 1
Is this relevant?
2006
2006
Feature selection is often applied to high-dimensional data prior to classification learning. Using the <i>same</i> training… (More)
  • table 1
  • figure 1
  • figure 3
  • figure 2
  • figure 4
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
  • table 1
  • figure 3
  • table 3
  • table 18
  • table 9
Is this relevant?
Highly Cited
2005
Highly Cited
2005
In this paper we measure the effect of Catholic high school attendance on educational attainment and test scores. Because we do… (More)
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
Is this relevant?
Highly Cited
2002
Highly Cited
2002
Two common characteristics of relational data sets — concentrated linkage and relational autocorrelation — can cause learning… (More)
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Is this relevant?