In this cross-sectional study 126 AS patients completed the BASFI questionnaire and eight performance-based tests based on BASFI-items.
The eight performance-based tests based on items of the BASFI included: climbing stairs (no. 1), bending (no. 2), reaching up (no 3), putting on socks (no. 4), reclining and declining from a chair (no. 5), getting up from the floor (no. 6), looking over the shoulder (no. 7) and a physically demanding activity (no. 8) as previously described by van Weely et al. [ 22].
Here we mention tests based on heterozygosity, tests based on FST, tests based on Allele frequency, and tests based on haplotype.
Traditionally, product qualification is based on passing tests based on industry standards.
This shows that the statistical tests based on the Laplacian model and based on the Gaussian model are essentially similar.
Having considered the importance of tests, this paper proposes a personalized multi-agent e-learning system based on item response theory (IRT) and artificial neural network (ANN) which presents adaptive tests (based on IRT) and personalized recommendations (based on ANN).
The reported p-values are based on Wald tests (based on an asymptotic Chi-squared statistic) for inclusion of the respective variables into the models.
In contrast to the tests based on the cumulative incidence function, tests based on restricting the patient sample to those who survived had increased "power" when the group with the higher discharge rate also had a higher mortality rate.
These include phenotypic culture based methods, tests for gene mutations and tests based on bacteriophage replication.
These would include further known groups and discriminant validity tests based on clinically sensible sub-grouping (based on predefined hypothesis-driven selection) and responsiveness analyses assessed against a priori clinically anchored hypotheses.
We used non-parametric rank based tests (Wilcoxon test) or one-factorial test based on a χ2 distribution when the assumptions for parametric tests were not met.
