This study portrays the analytical capability of NMR spectroscopy and multivariate data analyses methods for the metabolic profiling of plant samples.
Large volume of quality-checked and quality-assured data generated by multielement surveys are integrated and interpreted by statistical, univariate, and multivariate analyses and modeling methods.
In addition, univariate and multivariate analyses (stepwise selection method for the linear regression model or backward elimination method for the logistic regression model) were performed to determine which of the independent variables were related to the secondary outcome variables.
These were then adjusted for the confounding effects of other variables in multivariate analyses using the method of Speigelhalter and Knill-Jones [ 31].
We performed no model reduction in the multivariate analyses, in accordance with methods described by Greenland [ 23, 24].
Multivariate analyses using Poisson regression methods for grouped survival data were conducted within the cohort to compute relative risks (RRs) of ratios of SIRs, taking into account age (5-year age groups) at HL diagnosis, calendar year (5-year calendar periods) of HL diagnosis and time since HL diagnosis (5-year calendar periods) (Preston et al, 1993).
For multivariate analyses, we examine modern method users versus all other women.
Univariate and multivariate analyses and a preprocessing method were used to evaluate and select 14 clinical and laboratory signs recorded at shock onset.
Multivariate analyses (generalized estimation equation method) were used to determine which longitudinal changes in risk variables since childhood predicted adult diabetes status.
In the multivariate analyses using Cox regression method, we found an association of EMMPRIN overexpression with poor survival (P = 0.034; Table 3), thus revealing EMMPRIN overexpression as an adverse independent prognostic factor for CSS in OSCC.
The prognostic value of the accumulation of p53, Waf-1, Bax and Bcl-2 proteins was assessed by both univariate and multivariate analyses, using the Kaplan Meier method and Cox's regression, respectively.
