Sentence examples for likelihood of freedom from inspiring English sources

The lowest post-test probability of infection given a negative test result was for the IFNγ and Stat-Pak combination (3%), meaning that obtaining a negative result in both these tests represents a 97% likelihood of freedom from infection.

Referring physicians should also be aware that delaying referral and serially trying multiple AADs may decrease a patient's likelihood of freedom from AF post-ablation.

The results of the model (-2 log-likelihood, degree of freedom of chi-square statistics, and overall rate of correct classification) were (1162.9, 12, and 84.4%) in cancer patients, and (2370.1, 9, and 78.4%) in non-cancer patients.

The fit of a given model to the observed data is summarized by a likelihood statistic (−2lnL; minus 2 * log likelihood) and degrees of freedom (df; observations − number of estimated parameters).

The model was estimated using restricted maximum likelihood, and degrees of freedom were calculated using the Kenward and Roger adjustment [46].

This classification was significantly different from that observed by chance (model χ = 230.3, 2 log likelihood 810.7, degrees of freedom 8, P < 0.001).

Four positively selected sites were detected by the M1a-M2a pair (75.4 % ≤ P ≤ 91.1 %), and seven positively selected sites were detected by the M7-M8 pair (52.3 % ≤ P ≤ 99.9 %).> -wrap-foot> l = lnL = log likelihood; LRT: likelihood ratio test; df: degrees of freedom; 2Δl: twice the log-likelihood difference of the models compared.

Lisrel 8.8 also calculates the likelihood ratio, its degrees of freedom and probability whenever maximum likelihood ratios are computed.

We tested for interaction between SNPs and non-genetic factors by conducting a one degree-of-freedom likelihood ratio test of a single interaction term (SNPxE) as implemented in an unconditional logistic regression.

We tested for pair-wise SNP-SNP interactions using a one degree-of-freedom likelihood ratio test of a single interaction term as described for the SNP-environment interaction tests.

Based on unconditional regression, we performed a one degree-of-freedom likelihood ratio test where the full model was tested against a model only including the SNP covariate with additive coding (0,1,2) as described above.