Sentence examples for based on a null from inspiring English sources

The authors therefore concluded that drug A is effective in reducing mouse mortality due to virus B. Some studies report conclusions based on a null hypothesis different from the one that is actually tested.

A total of sample size of 55 evaluable patients was calculated using a one-sample multiple testing procedure (Fleming, 1982) and was based on a null hypothesis for the true response rate of 15% and an alternative hypothesis of 30% with a type I error alpha of 5% and type II error beta of <20%.

To evaluate whether the aforementioned patterns emerge due to users 'collectively shift' attention, or simply due to the change of individual activities, we compare the observed values with a 'baseline' created based on a null model - in which the frequencies of both user activities and the hashtags remain but the selection of hashtags are randomized.

Statistical significance is estimated based on a null distribution for the Fij generated by randomly picking the p from corresponding null distributions for ESAiBj and ESBjAi.

SWang is based on a null hypothesis that the mean, variance, skewness, and kurtosis between case and control should be equal.

Starting from T0 (here defined as the time frame immediately following InlB stimulation, frame 16), Tmax was detected when the slope again reached a minimum, where minimum slope is based on a null second derivative function.

The models involve the interactions with statistically significant (False Discovery Rate (FDR) -adjusted p-value < 0.01, H0: pcor = 0 based on a null-distribution estimated from the data, see Schafer and Strimmer, 2005, for details) association strengths (green: positive, red: negative associations).

Gene sets with a nominal P < 0.001 and a FDR < 0.05 (based on a simulated null distribution of 1000 random gene set permutations and multiple-testing adjustment to control the FDR as computed by the BROAD GSEA software) were selected for visualization.

However, it is often the case that the detection of novel salient properties of complex biological networks and determination of their statistical significance is based on a generic null model, which may result in misleading conclusions and, consequently, in inappropriate biological reasoning (Artzy-Randrup et al., 2004; Bernhardsson and Minnhagen, 2010).

For each of the observed differences in our data, we obtained a P-value based on an empirical null distribution from 1000 permutations.

DBFP detects candidate footprints as regions of depleted cleavage relative to a local background and assigns a statistical confidence estimate to each candidate based on an empirical null model.