Sentence examples for use of statistical approach from inspiring English sources

The use of statistical approach enabled us to build linear mathematic functions of network structure units – property relationships, or models, and the model predictions were closely matched with the measured values.

This work focuses on the use of statistical approach in optimizing shape-size accord of electrospun cellulose acetate (CA) mats – an apt material for biomedical and industrial applications.

The use of statistical approach, Taguchi method, provided a satisfactory outcome in defining the optimum conditions for protease production by A. oryzae.

This paper reports on the use of statistical approach and natural precursors for enhanced production of CoQ10 using Pseudomonas diminuta NCIM 2865.

Incorporation of biological factors into the process of latent fingerprint identifications and use of statistical approach to minimize the error rate should not be overlooked as emphasized by National Academy of Science NASS) Report of 2009 (National Academy of Sciences 2009; Fournier and Ross 2016).

The limited use of statistical approaches to classification is more understandable, as most clinical studies of actigraphy in BD are based on modest samples, which can limit the utility of techniques such as machine learning (Orru et al. 2012).

On this matter, the use of statistical approaches applied to reproduced climate signals of several nearby situated specimens, like stalagmites from one cave, can help to reduce age uncertainties.

As with the use of statistical approaches to increase power, and in contrast to using multiple panels to increase power, once development costs have been accounted for, an up-front investment in SNP screening produces no ongoing additional cost per sample.

The use of statistical approaches to parameterising models based on field data allows greater insight into the relative strengths of different control strategies and into the range of possible outcomes and associated variabilities, particularly in cases such as paraTB in which there are a large number of biological parameters whose values are poorly understood.

The conclusion about the cost-effectiveness of NLC was dependent on the type of outcome; disease specific (DAS28) or generic (QALY) outcome, and on the type of statistical approach used (PP or ITT) in the analysis.

The most effective strategy may be to use a variety of statistical approaches for gene discovery.