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triangulation

Known as: Cross Validation, cross-validation 
A statistical method of partitioning a sample of data into subsets such that the analysis is initially performed on a single subset, while the other… Expand
National Institutes of Health

Papers overview

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Review
2018
Review
2018
This system paper presents the Topology ToolKit (TTK), a software platform designed for the topological analysis of scalar data… Expand
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Highly Cited
2014
Highly Cited
2014
Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive… Expand
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Highly Cited
2007
Highly Cited
2007
Classification procedures are some of the most widely used statistical methods in ecology. Random forests (RF) is a new and… Expand
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Highly Cited
2007
Highly Cited
2007
One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to… Expand
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Highly Cited
2006
Highly Cited
2006
In this study, our purpose was to improve the performance of our mass detection system by using a new dual system approach which… Expand
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Highly Cited
2006
Highly Cited
2006
In this article, the authors present an empirical example of triangulation in qualitative health research. The Canadian Heart… Expand
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Highly Cited
2002
Highly Cited
2002
  • M. Sanderson
  • Molecular biology and evolution
  • 2002
  • Corpus ID: 11055304
Rates of molecular evolution vary widely between lineages, but quantification of how rates change has proven difficult. Recently… Expand
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Review
1996
Review
1996
Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use… Expand
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Highly Cited
1992
Highly Cited
1992
THE determination of macromolecular structure by crystallography involves fitting atomic models to the observed diffraction data1… Expand
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Highly Cited
1989
Highly Cited
1989
This article considers single sample approximations for the cross-validation coefficient in the analysis of covariance structures… Expand
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