Sentence examples for made statistical inference from inspiring English sources
Using weighted sums of patients in care, we estimated that our study made statistical inference to 18,720 patients in care for HIV infection: 8,490 (45%, CI = 29% 62%) in care at RWP-supported facilities, and 10,230 (55%, CI = 37%–71%) in care at facilities not supported by the RWP.
The reason for using this index is that the standardized coefficients, usually known as Z-score test statistics, are independent of scale, and may be used to make statistical inference.
Aside from those companies, the open-source statistical programming language known as R is being used as a cheap way to make statistical inference in our data-drenched world; a company called Revolution Analytics sells a commercial version to financial companies and manufacturers, among others.
This PCA did not seek to make statistical inference.
Here, nonparametric rank-based methods are preferred for making statistical inference.
The only possibility is to make statistical inference, which takes the inherent randomness into account, from multiple genome-level data sources.
Therefore, it may be desired to make statistical inference on the true values of unknown specimens without estimating this possible correlation.
A frequency domain formulation is proposed that makes statistical inference based on the Fast Fourier Transform FFTT) of the data in a selected frequency band.
Because each individual data source is noisy and gives only a partial view of the underlying regulatory mechanisms, we focus on making statistical inference for TFBSs from multiple information sources.
MAGEE is applicable to making statistical inference on regression coefficients in both balanced and unbalanced longitudinal designs and even in twin and familial studies, whereas standard software platforms have several major limitations in handling these complex studies.
In similar vein, De Finetti (e.g., 1974) advocated a view on statistics in which only the empirical consequences of the probabilistic beliefs, expressed in a willingness to bet, mattered but he did not make statistical inference fully dependent on decision theory.
