Sentence examples for beta estimates from the from inspiring English sources

In the second stage of each analysis, the beta estimates from the first level were entered into a general linear model treating subjects as a random effect.

For each participant, the magnitude of activation for the different conditions in each ROI was determined by averaging the relevant beta parameter from each participant's fitted beta estimates from the general linear model.

On the other hand, the slope parameter (beta estimate) from the model quantifies the size of the effect, allowing one to ascertain how changes in progression effects will translate into changes in survival effects.

Although the beta estimate from the multi-variable regression assessment of methemoglobin levels at 36 weeks was suggestive of higher methemoglobin levels among pregnant women with higher estimated nitrate intake from tap water, it was not statistically significant (β = 0.046, p = 0.986) (Table 7).

We estimated the expected OR for each of the four variants for both the EM (<46 years) and POF (<40 years) groups based on the beta estimate from the ReproGen Consortium GWAS (unpublished data) and compared with the ORs we observed in the BGS.

The beta estimate from this model was 82.58 (P < 1e-5, T-test), meaning that for every unit increase in average coverage; the model estimated that the average number of segmented regions increased by 82.58.

To explore effects of actual difficulty, instructed difficulty, and feedback valence in the striatum, beta estimates from each ROI were subjected to a 2 (actual difficulty) × 2 (labeled difficulty) × 2 (feedback valence) repeated measures ANOVA.

For example one study reported 32 unique beta estimates from a linear regression based on data from 155 respondents [67] and another study reported 36 p-values from an experimental study with 48 participants allocated to two exposure types [65] suggesting the potential for a high family-wise error rate.

Contrast images were generated from beta estimates for the following comparisons: checkerboard v. baseline (checkerboard stimulus contrast), moving dots v. static dots (motion stimulus contrast), and objects v. scrambled images (objects stimulus contrast).

For those type2 probes assigned to the U-state, transform their probabilities of belonging to the U-state to quantiles using the inverse of the cumulative beta distribution with beta parameters estimated from the type1 U component.

For those type2 probes assigned to the M-state, transform their probabilities of belonging to the M-state to quantiles using the inverse of the cumulative beta distribution with beta parameters estimated from the type1 M component.