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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… Expand
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model… Expand
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Highly Cited
2010
Highly Cited
2010
A recurrent problem in the analysis of behavioral dynamics, given a simultaneously evolving social network, is the difficulty of… Expand
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Highly Cited
2009
Highly Cited
2009
In situations where limited knowledge of a system exists and the ratio of data points to variables is small, variable selection… Expand
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Highly Cited
2008
Highly Cited
2008
This paper presents a theoretical analysis of sample selection bias correction. The sample bias correction technique commonly… Expand
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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… Expand
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Highly Cited
2004
Highly Cited
2004
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution… Expand
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Highly Cited
1998
Highly Cited
1998
This paper develops and applies semiparametric econometric methods to estimate the form of selection bias that arises from using… Expand
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Highly Cited
1990
Highly Cited
1990
This article demonstrates how the selection of cases for study on the basis of outcomes on the dependent variable biases… Expand
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Highly Cited
1990
Highly Cited
1990
 
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Highly Cited
1979
Highly Cited
1979
Sample selection bias as a specification error This paper discusses the bias that results from using non-randomly selected… Expand
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