Sentence examples for individual statistical methods from inspiring English sources

The procedure with complementary statistical approaches can help to overcome shortcomings with the individual statistical methods and help to eliminate scaling artefacts.

We used six individual-level statistical methods that extend the standard logistic regression methods by adding specific strategies to handle the clustering of the data, and therefore are valid for analyzing clustering data.

The use of qualitative methods to assess the individual accuracy of a questionnaire in routine practice provides more insight into individual validity than pure statistical methods assessing the internal consistency and stability of a questionnaire.

*Sample case report forms; list of investigators (names and addresses provided but additional pages missing); ethics review board documents; listing of patients receiving treatment from specific batches; audit certificates; documentation of laboratory methods; additional statistical methods; individual patient listings other than adverse events.

Researchers have shown that it is almost always possible to reconstruct links with individuals by using sophisticated statistical methods (Danezis, Diaz, & Troncoso 2007) and by combining multiple databases (Anderson 2008) that contain personal information.

Administrative data of a Local Health Authority in Central Italy were analyzed using statistical methods at individual and dyadic levels of analysis.

Approaches combining optimization-based and statistical models have been also proposed to overcome the individual limitations of optimization and statistical methods [ 31, 32].

These selected results are discussed in the following order: stimulus characteristics; assessment of subjective sexual arousal; assessment of genital arousal; statistical methods; and individual differences.

We recommend that systematic reviewers attempting to perform these analyses consult textbooks and individuals with expertise in the statistical methods of meta-analyses and explorations of heterogeneity e.g., [ 22, 23, 27, 28, 32, 35].

Given thus the results from this study, among the next steps to be taken in the genetic control of infectious disease are a more accurate description of genetic heterogeneity among individuals and the development of statistical methods to account for different types and shapes of genetic variation in the analysis of disease data and in genetic epidemiological models.

Perhaps the simplest pathophysiological approach is to view insulin resistance/compensatory hyperinsulinemia as one entity in nondiabetic individuals, rather than attempting by statistical methods to come to conclusions as to which abnormality is caused by insulin resistance and which is caused by hyperinsulinemia.