Sentence examples for risk analysis data from inspiring English sources

In all instances, the competing risk analysis (data not displayed) did not change the effect found.

Volume 3 provides guidance on the use of inventory and risk analysis data, storage plans and transport information to allow the formation of a site specific environmental management plan (EMP) at High Risk locations.

Big Data Mining techniques are increasingly becoming an important and effective way in various data driven applications such as network traffic risk analysis, business data analysis etc.

The last quarter of 2014 saw a spate of silicon valley investment in AI start-ups involved in financial risk analysis, big data analysis, language and image recognition and automated report writing.

A recent risk analysis of data from several studies including 3800 subjects in US National Health and Nutrition Examination (NHANES) revealed that amalgam dental restorations (50% metallic mercury) were a major source of Hg exposure in the US.

Accordingly, the present study investigated the long-term outcomes, including mortality, medical complication, and reoperation rates after fixation surgery for undisplaced femoral neck fracture and those after hemiarthroplasty surgery for displaced femoral neck fracture using competing risk analysis of data for inpatients aged 60 years and above obtained from a nationwide population database.

For the risk factor analysis, data were initially checked and missing values dealt with using complete case analysis, where incomplete units were removed.

Since prevalence of single taxon was too low for a risk factor analysis, data on infection with helminths and/or Giardia were also combined to the purpose.

Statistical learning theory, a diverse set of methods designed to draw inferences from large, complex data sets, can provide a basis for risk analysis for data-rich systems.

Using this information for estimating the probability or consequences of system failure requires a different approach and analysis paradigm than risk analysis for data-poor systems does.

Regression methods with the use of 'penalization', survival analysis with competing risk analysis or functional data analysis are other alternatives for these kinds of time series data sets but will not be discussed in this paper.