Two Methodologies for Predicting Patent Litigation Outcomes: Logistic Regression Versus Classification Trees

Published date01 March 2016
Date01 March 2016
DOIhttp://doi.org/10.1111/ablj.12075
Erratum
Two Methodologies for Predicting
Patent Litigation Outcomes: Logistic
Regression Versus Classification
Trees
In Tammy W. Cowart et al.,
1
an error was published in section VI,
“APPLICATION”.
The editors of the American Business Law Journal regret that an error
appeared on page 873 in issue 4 of volume 51. Although Lexis identi-
fies Mr. Elsberg as Samsung’s lead attorney pro hac vice in its publica-
tions of the January 9, 2014 and November 25, 2014 district court
decisions in this case, Mr. Elsberg has informed the authors he was not,
in fact, lead trial attorney.
We apologize for any misunderstanding.
1
Tammy W. Cowart et al., Two Methodologies for Predicting Patent Litigation Outcomes: Logistic
Regression Versus Classification Trees,51Am. Bus. L. J. 843, 873 & n. 134 (2014), DOI:
10.1111/ablj.12036.
V
C2016 The Authors
American Business Law Journal V
C2016 Academy of Legal Studies in Business
193
American Business Law Journal
Volume 53, Issue 1, 193, Spring 2016
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