Sentence examples for analytic methodology for from inspiring English sources

A wide range of statistical and computational strategies have been developed for modeling, mining, predicting and interpreting binary synthetic lethal/sick genetic interactions with other interaction information [17] [29], yet only a limited effort has been devoted to developing generic analytic methodology for the needs of the large-scale quantitative genetic interaction experiments.

For example, competitive-binding immunoassay may be a satisfactory analytic methodology for many clinical applications, but it is based on a single measurement that has known susceptibility to cross-reactions, and it requires external calibration.

The main analytic methodology for the primary outcomes, GLMMs via maximum likelihood estimation, implicitly accommodates missingness when it is due either to treatment, to prior outcome, or to other baseline covariates included in the model, defined as 'missing at random' [ 53].

It is not our intention to comprehensively review analytic methodologies for zero-inflated data.

Development of efficient analytic methodologies for combining microarray results is a major challenge in gene expression analysis.

In this study we utilized two related analytic methodologies for identifying the underlying patterns within our dataset: principal components analysis (PCA) and factor analysis (FA).

Meta-analytic methodologies for such kind of data have been developed to summarize sensitivity and specificity separately or jointly in a fixed or random effects context, for example [ 1- 6].

An analytic methodology is presented for the examination of stress migration in the built up interconnect structures on integrated circuit die.

In recent years, the progressive diffusion of immunochemical analysers utilised for the rapid assay of numerous autoantibodies in total automation, and the availability of new ANA screening tests that takes into account up to 16 different intracellular antigenic specificities bound to the solid phase, reopened the discussion on which analytic methodology to adopt for ANA detection.

The water sampling and analytic methodologies from RFTS have been described previously (Savitz et al. 2005, 2006).

As an alternative analytic methodology to Poisson regression, the CCO approach allows for direct modeling of interaction terms, rather than depending on multiple subgroup analyses (Figueiras et al. 2005).