Sentence examples for based on large sample from inspiring English sources

Besides association studies based on large sample size of case-control design, family-based studies have also been carried out for AD.

Because of their small sample sizes, statistical methods based on large sample approximation are not appropriate for design and analysis of phase II trials.

Despite the fact that only 24 young men (or 12 pairs of twins) were challenged by the overfeeding protocol, the data can be useful in the effort to identify genes and mutations that should be tested in future studies based on large sample sizes.

We introduce a methodology for requirements analysis for customization based on large sample interactive testing, with the premise that analysis of user behaviour with prototypes leads to requirements discoveries.

A statistical model based on large sample simulation is established to study the relationship between random telegraph signal (RTS) noise and the number of time delay integration (TDI) stages in TDI CMOS image sensor (CIS).

Then through integrating the fire hazard maps with the evacuation modeling, fire risk maps together with a set of fire risk indices can be obtained based on large sample statistics.

To achieve its results, ADGA uses a combination of sources including syndicated national and regional readership surveys, unique user and browser data, FT proprietary research based on large samples of the reader base as well as ABC circulation figures.

"David's highly regarded scholarship in statistics is distinguished by a combination of creativity and practicality, making possible the successful use of large data sets in addressing challenges such as helping doctors to predict the side effects of prescribed drugs and gaining insights about the future course of illnesses based on large samples of patient outcomes," Bollinger said.

Future research should explore ways to visualize patterns of design behavior based on large samples of students.

The multi-index model based on large samples can be used to predict risk of gastric cancer more accurately and effectively in clinical screening.

In terms of typology, both frameworks emphasise empirical typology based on large samples of languages; qualitative and quantitative analysis of texts from comparable registers across languages; and the importance of grammaticalisation in the study of languages (Teruya and Matthiessen 2015).