Sentence examples for deviation of effects from inspiring English sources

For fixed effects we estimated the mean effect applicable to all patients, whereas for random effects we estimated the mean and standard deviation of effects across patients.

Using realistic fixed estimates of the mean and standard deviation of effects and costs at population level (based on Hakkaart-van Roijen et al., 2006), we simulated a large number of trials in which we systematically varied sample sizes between n = 10 to n = 500 per group (n = 10, 25, 50, 75, 150, 500).

Considering available literature evidence showing that HbA1c reduction ranged 0.30 1.50 and 0.0 0.30% in studies using aerobic training or resistance training, respectively (22), power and sample size were calculated on a predicted HbA1c difference between groups of 0.30 HbA1c units with a standard deviation of effect of 0.34 HbA1c units, α = 0.05, power = 0.80.

When applied to simulated QTL data, the QTLST-EE exhibited a false-positive rate of 0.021 across all variances, whereas the false-positive rate of the QTLST rose from 0.001 when the standard deviation of effect sizes was 0.24 to 0.035 when the standard deviation was 1.95.

Unfortunately, standard deviations of effect sizes could not generally be reported as they were not included in all original papers.

In addition, the between-study variance (random effects) was calculated by estimating the standard deviation of underlying effects across studies (TAU) [ 26].

To meet this problem the linear components of age, period and cohort and parameters associated with deviation of the effects of each of these factors from linearity can be examined [ 39, 40].

However, features of the posterior distribution (e.g., the posterior mean or standard deviation of marker effects) can be approximated using Monte Carlo Markov chain (MCMC) methods (Gelman et al. 2003).

A sample size of 10 patients was estimated to be sufficient to detect a difference of 4 points on the primary outcome measure with 80% power, assuming a standard deviation of 4.0 (effect size: 1.0; NQuery Advisor 7.0).

As commonly included in meta-regression analysis research, our model contains the standard deviation of the effect size ((nu)) as explanatory variable.

As commonly included in meta-regression analysis research, our model consequently contains the standard deviation of the effect sizes ((nu)) as explanatory variable (Doucouliagos and Laroche 2009; Stanley 2004).