Sentence examples for data analysis component from inspiring English sources

This feedback could additionally contaminate the data analysis component of the study by making it hard or impossible to identify whether changes in patient symptoms or behavior resulted from passive data feedback, the intervention or treatment under investigation, or both.

This paper focuses on the data analysis component of policy interaction within the Growing Up in New Zealand study and considers several key questions of relevance for New Zealand's ECE policy.

The data analysis component of HIS must be designed to fulfil its purposes of issuing warnings on the risk of arising diseases and other health conditions, setting priorities for action with available resources, identifying the most appropriate and efficient ways to respond, planning for an effective response and monitoring the effectiveness of the response.

The use of the CMO framework to guide the data analysis component of the study will provide a consistent approach to qualitative analysis and several members of the research team will individually use this framework to thematically analyse and compare their results.

It focuses on the experimental design and data analysis components of molecular markers.

13 out of 20 papers present multi-parametric data analysis components, six a single-parameter approach and one a descriptive analysis.

Organised by the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) and supported by the Indian Department of Biotechnology, this training course provides participants with expertise in the use of molecular markers, gene/QTL mapping and marker-assisted breeding, focusing on the experimental design and data analysis components of molecular markers.

Additional studies may be useful to assess more specific data analysis components, such as cross-validation techniques for estimating predictive performance of supervised classification models in medical diagnosis and prognosis.

Cassava, corn and wheat flours were subsequently characterized through multivariate data analysis (principal component analysis and hierarchical cluster analysis).

Two important techniques of multivariate data analysis, principal component regression (PCR) and partial least squares (PLS) were independently applied to experimental results to construct theoretical models.

Multivariate data analysis (principal component analysis (PCA) and partial least squares (PLS) regression modelling) was used to explore the potential of these spectroscopic techniques over selected multiple frequency or wavelength ranges.