Sentence examples for the regression measures from inspiring English sources

Many readers will be more familiar with Hamilton's life-for-life coefficients, which are the regression measures with the standard V adjustments already made (i.e. multiplying the regression measure by 2 for male-to-female relatedness and dividing by 2 for female-to-male relatedness).

This validated the absence of significant plate-to-plate bias and specifically confirmed longer telomeres in centenarians and (semi- supercentenarians than expected from the regresemi- supercentenarianser ages.

Each coefficient in the elastic-net regression measures the partial correlation between the predictor feature (e.g. CNV, gene expression, methylation level or mutation status) and the outcome (e.g. clinical stage).

Table 3 shows the results for the linear regression measuring the effect of household income on adult BMI in 2000.

The rate ratios from the Poisson regression measure the multiplicative increase (or decrease) for an interquartile increase (an increase from the 25th to the 75th percentile) in the weather and pollution variables.

Logistic regression measures the relationship between a binary response variable (Disease-gene network) and one or more predictor variables (drug-gene networks).

Table 3 shows the simple and multiple logistic regression measures of association between different risk factors and nontraumatic amphibian limb malformation.

Evoked pain with active abduction was reported, and the pain rating served as the dependent variable in the regression model.Impairment measures explained resting pain at 48 (R2 = 0.392) and 96 hours (R2 = 0.164).

The coefficients from the employment regressions measure the change in the probability of employment in response to a one-unit increase in the log living wage (or a 100% increase).

Thus each line of Table 7 in the Appendix is a separate regression measuring the effect of joining a TWA in year 2002 on subsequent labor market outcomes.

They are usually easy to interpret, with the regression coefficients measuring the increase rates of response variables with changes of covariates.