2004
DOI: 10.1016/j.spl.2004.10.002
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Characterization-based Q–Q plots for testing multinormality

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Cited by 28 publications
(18 citation statements)
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“…Like in other cancers [50,53,73,97,104,121,134,138,160,182], levels of sFas and sFasL were found to be elevated in serum of patients with lung cancer as compared with healthy individuals [161]. Concerning therapy response during chemotherapy, Fas in serum of SCLC patients with complete response was lower than in non-responsive patients [161].…”
Section: Fas-receptor and Fas-ligandmentioning
confidence: 78%
“…Like in other cancers [50,53,73,97,104,121,134,138,160,182], levels of sFas and sFasL were found to be elevated in serum of patients with lung cancer as compared with healthy individuals [161]. Concerning therapy response during chemotherapy, Fas in serum of SCLC patients with complete response was lower than in non-responsive patients [161].…”
Section: Fas-receptor and Fas-ligandmentioning
confidence: 78%
“…For further investigating whether the distribution of average chemical shifts of six nuclei in five kinds of protein super secondary structures are independent of one another. Firstly, the Q-Q plot in statistics is an exploratory graphical device used to check the validity of a normal distributional assumption for a dataset (Liang et al, 2004). The results demonstrated that the CSs six nuclei obey normal distribution (see Supplementary material).…”
Section: Resultsmentioning
confidence: 99%
“…This provides quite strong evidence that multi-collinearity is not present within the dataset. A Q-Q plot (Liang et al 2004) suggests that the normality assumption is complied with. Figure 1 presents, however, a scatterplot of the squared residuals relative to the unstandardized predicted values, which suggests that the assumption of homoscedasticity is being violated.…”
Section: Diagnostic Testingmentioning
confidence: 98%