Bias in Wilks' Λ in Stepwise Discriminant Analysis

Rencher, Alvin C.; Larson, Steven

doi:10.2307/1268319

Cited by 20 publications

(1 citation statement)

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“…As mentioned above, we use increase in classifier performance as a selection criterion (27). Alternative selection criteria include the use of F‐statistics or Wilks' Λ (which are not optimal for the task) (27, 40) or the more advanced Bhattacharyya distance measure (41). The main motivation to apply any of these alternative criteria is preventing the direct measure of the classification performance from being too time consuming.…”

Section: Methodsmentioning

confidence: 99%

Image analysis for automatic segmentation of cytoplasms and classification of Rac1 activation

et al. 2003

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Background: Rac1 is a GTP-binding molecule involved in a wide range of cellular processes. Using digital image analysis, agonist-induced translocation of green fluorescent protein (GFP) Rac1 to the cellular membrane can be estimated quantitatively for individual cells. Methods: A fully automatic image analysis method for cell segmentation, feature extraction, and classification of cells according to their activation, i.e., GFP-Rac1 translocation and ruffle formation at stimuli, is described. Based on training data produced by visual annotation of four image series, a statistical classifier was created. Results:The results of the automatic classification were compared with results from visual inspection of the same time sequences. The automatic classification differed from the visual classification at about the same level as visual classifications performed by two different skilled profes-

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