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However, due to the complexity of calculations, the power of the test is either estimated by a normal approximation or found when an appropriate alternative is given.
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A P value for the score was then calculated by using a normal approximation of the null distribution.
The 95% CI of rRR for each study was calculated by assuming a normal approximation to and then antilog to construct asymmetric 95% CI around rRR.
The total variance of ln CE) is obtained by combining a normal approximation for B (corresponding to p ^ in a binomial model) and the delta method, which states that for sufficiently regular functions h, var(h(x)) = var(x) h′(x)^2.
It can apply in any setting where an imputation procedure involves a categorical data regression and where the uncertainty about the imputation model parameters is allowed for by sampling from a Normal approximation to a posterior distribution.
We compare the performance of the empirical likelihood confidence region based on the new estimating equation, with that based on the existing estimating equation and a normal approximation method by simulation studies.
Either we can estimate this value from the data using the 1 - α quantile of the { D k, t } process of non-outbreak-based training data, or via a normal approximation, given by (10).
Finally, to calculate confidence intervals based on TMRCA estimates, we use our estimate σt*2 in a normal approximation, as proposed by Saillard et al. [37].
Differences in success rates between the treatments were quantified by the 95% confidence interval, calculated using a normal approximation to the binomial distribution.
Using a normal approximation the target standard error is approximately.05.05
The percentage of patients reporting improvements MCID was compared between tofacitinib and placebo groups using a normal approximation to the binomial (by forming a z score) to calculate numbers needed to treat (NNT).
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