Differences in post-mortem organ weight were evaluated using a multivariate general linear model with time point and tumour as between-subject factors and pooled lymph node, thymus and spleen weights as within-subject factors.
Predictors of time to development of de novo post-transplant DM were evaluated using a multivariate Cox proportional hazard model; the time to development of DM was calculated from the transplant to the first recorded DM onset, and censoring time was the last recorded absence of DM.
The persistence of ethnic disparities over time (i.e., the interaction of ethnic group and time period) was analyzed using a multivariate logistic model.
Repeated measures ANOVA using a multivariate approach on AE showed a significant main effect for Time of Observation (F 2,11) = 41.30, p ≤ 0.001).
Extraction conditions such as the type of solvent, extraction temperature, irradiation time, and salting-out effect were optimized using a multivariate approach.
A significant Programming Type × Time of Observation interaction was found for SE using a multivariate approach to repeated measures ANOVA (F 2,11) = 11.59, p ≤ 0.002).
Data were analyzed using a multivariate model, which demonstrated that sex (female), baseline anxiety, and the length of waiting time were predictive of increased anxiety.
The optimization step was performed using a multivariate technique (Box Behnken design) involving the factors pH, acid ascorbic concentration and reaction time.
Relative excess risks of death (RER) were estimated using a multivariate generalized linear model with a Poisson distribution, based on collapsed relative survival data, using exact survival times.
