Sentence examples for use of probability methods from inspiring English sources

- The MICS manual section on sampling should place greater emphasis on the use of probability methods.

In addition, the MICS manual should put greater emphasis on sampling and, in particular, on the use of probability methods.

The availability of large known drug use gathering places and of officially registered IDUs in Lang Son permitted greater use of probability-based methods in Vietnam, while there was more reliance on peer recruitment in China.

The use of non-probability methods, such as random-walk, or purposive sampling as sometimes used in sentinel community surveillance methods, should be discouraged.

The most sophisticated published treatments for determination of significance use Bayesian probability methods, maximum likelihood procedures, or multiparameter fitting to analyze samples of gene expression data [ 4- 6].

The social survey is a development of the last 120 years which may be broadly divided into the local social survey of the period between 1880 and 1940 and the modern sample survey of general populations using probability methods which has flourished since the 1930s which is now the standard method of gathering information about national populations.

These risks can never be eliminated, but can be reduced by using probability methods at different stages of assessment and exploration activities.

For breast cancer, the AMP method using 5-year age bands overestimated the risk by only 0.3% compared with an overestimate of 0.8% using the 'current probability' method on all primaries.

Previous research has indicated that the use of rigorous probability sampling methods (as adopted in the GPPS) is consistent with only a weak association between non-response rates and non-response bias.

However, the predominant use of non-probability sampling methods and employment of self-rating evaluation instruments in these studies might have introduced some biases.

It is based on a reinterpretation of the classical rejection-sampling approach to Bayesian analysis, which enables the use of established methods for estimating probabilities of rare events.