Sentence examples for diverse statistical methods from inspiring English sources
These results indicate that the use of diverse statistical methods can yield significantly different results, thus leading to the introduction of possibly inappropriate infection control measures.
A large number of diverse statistical methods for detecting DIF have been described in the literature [ 33- 38].
Relationships between contraction periods obtained by means DL and TM signals, DL and FL, and DL and DP were analyzed by diverse statistical methods.
However, conceptual and technical difficulties, such as tumour heterogeneity, the use of different array platforms and diverse statistical methods to analyse data, together with small sample sizes for each individual study, have caused serious concern [ 1].
They employed diverse statistical methods to develop effective diagnostic algorithms for classifying the Raman spectra of different types of ex vivo gastric tissues, including PCA, LDA, and naive Bayesian classifier (NBC) techniques.
For diverse accessions, two statistical methods were used to perform genome-wide association mapping.
Other methods rely on diverse statistical models, such as detecting hidden Markov chains [ Thijs et al. 2001].
4 5 6 7 8 9 10 11 12 They often reflect differences in eligibility criteria, types of studies selected, statistical methods, occasional errors, or even diverse subjective interpretation of otherwise similar results.
The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field.
The book has done more than anything else to make research workers in most diverse fields of study familiar with the practical applications of modern statistical methods, and to create a statistical attitude of mind among the younger generation of scientists.
We validate our methods across 34 ((GC times GC)) injections from a diverse portfolio of petroleum sources, and provide quantitative comparison of performance against established statistical methods such as principal components analysis (PCA).
