Sentence examples for using the formulae presented from inspiring English sources

Using the estimates for the effects (β's) of covariates on the outcome obtained with the random effects logistic model, we can choose a standardization procedure and estimate PR using the formulae presented previously relating the values of covariates and their effects to the prevalence ratio.

Static stress changes are calculated using the formula presented by Okada (1992).

Using the formula presented in the Method section, we recovered individual N2pc latency values from the jackknife values and then performed a two-tailed Pearson correlation between the N2pc latency effect and the RT effect.

Estimates of relative risk reduction were based on the average patient using the formula presented by Zhang and Yu [ 22].

The number of regions of diameter D that can fit into the stimulus space was computed using the formula presented in Bushdid et al. (2014).

The 95% confidence interval (CI) for the non-parametric correlation coefficient was calculated using the formula presented by Altmann and Gardner [ 18].

Corrected coverage was calculated using the formula presented in Barrett and Cardon (2006), which adjusts coverage estimates for the total number of polymorphisms in the genome.

The accuracy of fetal weight estimation using the formula presented by Hadlock et al. has been reported to be markedly decreased in fetuses weighing >4,000 g.

An investigator can use the formulae presented in this paper to conduct a sensitivity analysis of their estimates of the diagnostic accuracy of Test 2. For the trial conducted by Lehman et al. [ 5], an example of this sort of sensitivity analysis is given in the immediately preceding paragraph.

We used the formula presented in [ 41, 42] to estimate the expected number of patrilines per colony, given the observed number of patrilines and the number of individuals sampled, assuming no skew among patrilines.

Fleming approximation using the formulae as presented in Machin et al (2009) gives the solution as sample size n=69 and number of response r=12, which (based on exact method) is actually coming from exact α=4% and exact power=75.04%.