Sentence examples for analyses of such data from inspiring English sources
Usual analyses of such data assume a parametric form for the distribution of the recurrences over time.
Extensive computer manipulations are required for even basic analyses of such data; the challenges mount further when two or more studies' outputs must be compared or integrated.
Genetic analyses of such data typically present challenges, because of the choice of underlying hypotheses on genetic architecture of the studied disorders and phenotypes, large numbers of phenotypes, the appropriate multiple testing corrections, limited numbers of subjects, imputations required on missing phenotypes and genotypes, and the cross-disciplinary nature of the phenotype measures.
A key challenge in the analyses of such data is to develop computational methods that efficiently identify complex associations between genetic variants (such as SNPs) and disease [ 1].
Blanket permission for future analyses of such data may undermine participant privacy if information is not deidentified and the implications of future confidentiality risks cannot be adequately determined.
In statistical analyses of such data, we usually take the log in order to equalize the variance among groups and to produce approximate normality, thereby conforming to the usual assumptions.
Given the variation in results depending upon the attribution of crisis care costs around the time of switch, sensitivity analyses are critical to proper understanding of such data.
When all possible pairs of such data were analysed, the mean correlation between single arrays ranged from r = 0.974 to 0.986.
While the sample size of the survey and the presence of a large set of explanatory variables make the data attractive for the intended analysis, use of such data for analysing childhood illnesses, however, is not without limitations.
Francis John Anscombe, a mathematician who helped computerize statistical analyses while seeking to avoid flawed interpretations of such data, died Oct. 17 at his home in New Haven.
Although censored data due to the presence of an LOD are not uncommon in GWA analyses of quantitative traits, an adequate modelling of such data has rarely been performed.
