Sentence examples for control for chance from inspiring English sources

We can't control for chance.

To control for chance offset unrelated to the long march protocol, the same analysis was performed comparing half of the reads from the initial library to the other half.

No study had a control group to control for chance; although some rudimentary statistical analyses were used, no study used logistic regression to control for confounding factors.

To analyze differences between and within the YSR and CBCL scores, two multivariate repeated measure analyses of variance (MANOVA) were performed in order to control for chance findings due to multiple testing.

Hayes and Krippendorff [ 42] reported that many commonly used reliability coefficients such as Scott's pi, Cohen's kappa, and Cronbach's alpha are either limited to two observers, fail to control for chance agreement, or only use corrections for the number of categories and not the distribution of ratings across categories or intervals.

Typically, somewhere between three to ten experts is recommended, although a minimum of five SMEs is recommended to control for chance agreement; furthermore, the larger the number of experts, the greater the confidence in the ratings and the easier it is to detect rater outliers [ 53, 55].

The scores were compared for reliability and controlled for chance agreement by using κ statistics.

Kappa tests for agreement controlling for chance agreement and its values were considered as follows: slight (0.0 0.2), fair (0.21 0.40), moderate (0.41 0.60), substantial (0.61 0.80) and perfect agreement (>0.80)[ 25].

In order to overcome these limitations, they proposed Kalpha, useable for any number of raters, level of measurement, and sample size, accommodating missing data and controlling for chance agreement.

First, because it incorporates both baseline and post-treatment scores, it would appear to control for any chance baseline imbalance between groups.

At the gene-based level of analysis, controlling for the chance of at least one false positive is appropriate, as we will conclude a significant gene-disease association if at least one test within the gene is significant after correction.