Sentence examples for maximum variation on from inspiring English sources

Patients were sampled for maximum variation on the basis of age, sex, CVD diagnoses and risk factors.

Also, aspects like gender, social economic status, and family structure could have influence on the HRQL of children, but maximum variation on all these aspects was found in the focus group population (table 1).

Purposive sampling was undertaken to achieve maximum variation on the basis of age, sex, type of cancer, index of multiple deprivation (based on postcode) [ 23] and residential location (urban, semi-rural, remote rural) [ 28].

Interviewees were selected with the aim of achieving maximum variation on the basis of tumour site, age, gender, geographical location, time since diagnosis, and responses to questionnaire subscales on depression, anxiety and cancer-related needs.

We purposefully sampled respondents in order to achieve maximum variation on a range of views using the following sample selection criteria: range of research team members (i.e., investigators, staff); individuals involved in the project for two years or more; and stakeholders from government, non-government and community agencies.

The specific energy varied with cutter location on sinusoidal wave, and the maximum variation of error occurred on cutter number n = 3 per unit wave.

To increase the accuracy of the sensor in the interface detection, quality factor is also measured and demonstrated a maximum variation of 85% depending on the materials.

More specifically, this method can be used to compute some bounds on the maximum variation of the equilibrium points induced by changes of the parameter values.

This is done by adding to the prior log density a factor that depends on the maximum variation of time course trajectories as follows.

In general, a mean intra-assay variation of 10 20% and a mean inter-assay variation of 15 30% on a molecular basis (a maximum variation of 2 and 4% respectively, based on Ct) is realistic over the wide dynamic range.

A general methodology is given on the design of GA in a particular problem based on defining the maximum variation of a problem, using the training set to estimate the average probability of a single run to the desired level of statistical confidence, and using the testing set to verify the required performance.