Sentence examples for models had statistically from inspiring English sources

Across all disease samples, the CMS-HCC indicator models had statistically significant higher c-statistic values than the Charlson and Elixhauser methods.

All models had statistically significant estimates for α and γ; however, the estimates for β for ParaBAD, ParaC, ParaE and ParaFGH are all insignificant at p = 0.05.

Similar to the findings for in-patient mortality, the summary score based on the CMS-HCC models had statistically significant levels of higher discrimination than the other two summary score based risk adjustment methods among all analytic files and across all samples.

Empirical results of a structural equation modeling (SEM) analysis revealed that the three following components of the original TPB model had statistically significant positive relationships with farmers' engagement intention in OFFS practices and generally explained 41% of its variance.

We used likelihood ratio tests to determine whether those factors remaining in the most parsimonious model had statistically significant effects on the probability that honeybees landed on spider-harbouring inflorescences [34].

Both the fluctuating input current and the input spike trains are random and thus the neuron and the model have statistically similar output spike trains (even though they do not overlap on the millisecond time scale).

In our models, pregnant women had statistically significantly lower blood BDCM and DBCM than men (approximately 25 30% lower, on average, holding other variables constant), whereas nonpregnant women had significantly higher levels (approximately 8 9% higher, on average, holding other variables constant).

Also, in significant level of 0.01, sex in model two, three and four had statistically significant on altruistic WTP.

In the unadjusted model, black women had statistically significantly lower scores in Physical Functioning, Role-Physical, Bodily Pain and General Health (Table  3).

Multivariate logistic regression models were fit using variables that had statistically significant (P≤0.05) unadjusted associations with CIN3+ and women that had complete information on these variables: 454 of 476 (95.4%) women positive for any HPV; 303 of 316 (95.9%) positive for carcinogenic HPV; and 241 of 251 (96.0%) women with non-16 carcinogenic HPV.

Only those variables that had statistically significant estimated coefficients were kept in the final model.