The results of odds ratios of multiple predictors were used for the purpose of detection of the specific causes of factors that affect child mortality in Tanzania.
Traditional experimental studies often use factorial designs to evaluate the main and interactive effects of multiple predictor variables.
Furthermore, the longitudinal design allowed us to use multiple predictors of SEP over the life course, which would be expected to be associated with less measurement error than using single measures.
Considering the exploratory nature of these analyses, and the use of multiple endpoints and predictors, it may be appropriate to adjust the p-values for multiple comparisons.
The 0% incidence in the current study may be due to the combined use of multiple difficult airway predictors during patient selection, and the relatively small patient number (n = 17).
The second category of models we are interested in analyzing is that of VQA using multiple predictors to accomplish quality estimation.
The Cox proportional hazard regression model was used to evaluate multiple predictors of overall survival.
Our regression-based estimation of time spent at home used multiple predictors, including (1) gender, (2) marital status, (3) age, (4) education, (5) parenthood status, (6) income and (7) time spent at work, which explained 40% of the variance in time spent at home (in the CGSS 2010 data).
Since the multi-locus GRS in our model is constructed using the linear combination of the genetic risk alleles, weighted by their genetic effects that are estimated from the univariate models, similar to the multivariate regression model using multiple predictors, the linear combination of such effects may over fit the data and cause inflated type I error.
The rationale behind using multiple predictors for quality assessment is that different types of signals might map into quality differently, and thus, using specialized predictors for each signal type would bring to more accurate quality estimations.
