The fact that tumour residual disease failed to retain any prognostic significance for survival in multivariate analysis may be attributed to the small number of patients, where multifactorial multivariate analysis has to be interpreted with caution.
Genome-wide association (GWA) analysis has provided the first effective strategy to allow a systematic dissection of the genetic basis of common, complex, multifactorial traits [ 1, 2].
While current guidelines [ 20, 32] generally recommend multifactorial interventions, a recent meta-analysis has highlighted that a single targeted intervention can be as effective as multifactorial fall prevention programs [ 74].
Our multifactorial analysis in a prospectively recruited cohort has shown that multiple factors, genetic and clinical, are important in determining the response to warfarin.
In this context, the studies of retinal development in zebra fish (Danio rerio) have adapted the multifactorial analysis to cDNA microarray data and proved useful in deciphering the complicated developmental process [ 20].
The COX risk ratio model was used for multifactorial analysis on survival, where P < 0.05 had statistical significance.
Although previous studies have analysed how discount rate affects SEV (Davis et al. 2001), there have been few attempts to identify long-term forest management strategies through a multifactorial analysis.
de Pádua et al. conducted a retrospective multifactorial analysis and concluded that patients older than 60 years of age were 1.5 times more likely to have a neomycin allergy [9, 17].
The study included one variant we had previously classified as pathogenic by multifactorial likelihood analysis (G1738R) and three variants that remained unclassified after multifactorial analysis (R1699Q, A1708V, and A1708E) [ 3- 5].
Data was analysed using a mixed, multifactorial analysis of variance (ANOVA) with repeated measurements.
