Several silicon-based supports, including planar silicon, micro- and macroporous silicon, and nitrocellulose-coated variants thereof, were designed and evaluated in a stepwise procedure.
The 14 candidate markers for EOC described above were evaluated in a stepwise manner using three overlapping serum sets of increasing complexity: the Filtering set, Mini-Triage set, and Triage set (Table 1).
The significant prognostic factors (P < 0.05) were additionally evaluated in a multivariate analysis performed with the Cox proportion hazards model (multiple Cox regression, selection = stepwise).
Independent factors contributing to HCC were evaluated in the forward stepwise multivariate regression analysis (Table V).
The full model was then evaluated by applying a stepwise procedure in both directions, automatically and manually, exploring interaction terms.
The full model was then evaluated by applying a stepwise procedure in both directions, automatically and manually, to avoid a local optimum.
Registry area, age, marital status, race, year of diagnosis, tumor histology, grade, stage, tumor size, number of positive nodes, number of examined nodes, odds of nodal involvement, extent of surgery, and radiotherapy were evaluated in Cox models by stepwise selection using the Akaike Information Criteria.
Non-inferiority is often tested first, but both non-inferiority and superiority can be evaluated in the same trial typically in a stepwise, or hierarchical, manner.
A new simple stepwise method was developed and evaluated in this paper.
In our investigations the dissolution of sedimentary rocks was evaluated in presence of hydrochloric acid and the reactivity was estimated for pH values between 3 and 5 with a stepwise titration method introduced by J. Ahlbeck in 1993 [1].
Fixed effect parameters were removed in a stepwise fashion, using Deviance Information Criterion (DIC) to evaluate model fit (Spiegelhalter et al. 2002).
