A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures.

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Title: A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures.
Authors: Grogan, Tristan R.1 (AUTHOR) Tgrogan@mednet.ucla.edu, Elashoff, David A.1 (AUTHOR)
Source: Communications in Statistics: Simulation & Computation. 2017, Vol. 46 Issue 9, p7180-7193. 14p.
Database: Mathematics Source
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  Data: A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=126638102
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        Value: 10.1080/03610918.2016.1230216
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 7180
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      – TitleFull: A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures.
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            NameFull: Grogan, Tristan R.
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            NameFull: Elashoff, David A.
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              Text: 2017
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