2016
DOI: 10.1007/s00345-016-1974-4
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Hypertension is the primary component of metabolic syndrome associated with pathologic features of kidney cancer: methodological issues

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Cited by 15 publications
(6 citation statements)
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“…VIF values <2 were regarded to indicate no multicollinearity. The variables with limited data (few in number), were excluded from calculations because of risk of sparse-data bias [42][43][44]. Kaplan-Meier (Log Rank) was used to construct survival analyses plot.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…VIF values <2 were regarded to indicate no multicollinearity. The variables with limited data (few in number), were excluded from calculations because of risk of sparse-data bias [42][43][44]. Kaplan-Meier (Log Rank) was used to construct survival analyses plot.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…It may be argued that the value of regression coefficients is highly reliant on univariate prescreening of variables and type of multivariable analysis. 5,6 Response to "Comments on Treatment Strategies and Prognostic Factors of Limited-Stage Primary Small Cell Carcinoma of the Esophagus"…”
Section: Comments On "Treatment Strategies and Prognostic Factors Of mentioning
confidence: 99%
“…Hence, their finding may be biased by multicollinearity, and some statistically significant associations may not be detected because multicollinearity saps the power of statistical tests. 4,5 Finally, the authors constructed a Cox proportional hazards regression model, but the main assumption was not checked. The proportional hazards assumption must be initially checked, and variants of Cox proportional hazards regression models such as extended Cox models should be applied when this important assumption is violated.…”
mentioning
confidence: 99%