A variety of approaches, e.g., increasing sample size, population selection on the degree of LD, and selecting informative tagSNPs, can improve the power for detecting association.
In our proposal, the fast non-dominated sorting and population selection strategy are applied to measure the quality of the solution and select the better ones.
Topics that are considered are: data standardization, population selection and bias, statistical analysis, ethical issues.
As competition is a function of the population, selection pressure rapidly changes in time.
Part 1 of this article explores the importance of population selection, case-ascertainment, attrition, and confounding.
Clinical trial design and study population selection are also areas that represent significant challenges to testing any putative neuro-protective agent.
Population selection affects the PPV of any diagnostic test.
The estimated population selection bias (PSB) is 2%% but it is not significantly different from zero.
Three basic operators are used to manipulate the genetic composition of a population: selection, crossover, and mutation [17].
METHODS: For this patient population, selection of an antithrombotic strategy poses a unique challenge in clinical practice, and comparative outcome data are sparse.
The genetic algorithm goes through the following phases: creation of initial population, fitness evaluation, parents selection, crossover, mutation and new population selection.
