Sentence examples for use of individuals data from inspiring English sources

The prescreening, some of which is already taking place, is described in documents the T.S.A. released to comply with government regulations about the collection and use of individuals' data, but the details of the program have not been publicly announced.

If there is a relationship, is it driven by individual or group level effects, or both?" In the case of the Russian Federation, we consider there is no reason that would prevent the use of individual data aggregates as approximations for program-level constructs.

Our study with the use of individual data overcomes the cross-level bias that characterizes aggregate analysis [36], [37].

The major strength of our study is the use of individual data from different population-based registries, covering the total population.

The use of individual data for each woman will allow for more powerful and flexible analysis of both subgroups and outcomes [ 33, 34].

Use of individual data points for this purpose will often blur the trends of the data, and for this reason we recommend using quantiles of exposure values for display of the observed data.

On the other hand, the use of individual data on famine exposure rather than grouping populations according to place of residence or time is a strength of our study since we used a more precise exposure measurement.

A strength of this analysis is the use of individual data from a large international survey to assess spending using standardized questionnaires and field procedures that allow reasonable comparability across many low- and middle-income countries.

A patient-level simulation is a type of pharmacoeconomic model that allows simulating the entire path of several patients with a set of unique characteristics, through the use of individual data.

The use of individual data and taking account of the different levels that may influence outcomes means that we will avoid the risk of the ecological fallacy common in ecological studies.

Three different strategies for clinical decision support are proposed: the use of individual data sets (referred to as step A); an integration of each data type over time by manually calculating the change in expression (step B); and an approach in which data sets are integrated over multiple layers in the genome (and over time) by treating variables from the different data sets equally (step C).