Sentence examples for models showed poor from inspiring English sources

Measurements were taken on standard specimens (50 × 50 × 300 mm) and plain prisms (80 × 150 × 500 mm) subjected to moderate curing condition (28 °C and 50% R.H). and a harsh curing condition (50 °C and 5% R.H .. ACI 209 and B3 models were found to have good prediction of experimental shrinkage strains in specimens cured in humidity room while GL2000 and Sakata models showed poor approximations.

However, the three published models showed poor calibration, with the Framingham model being the worst.

The studied risk models showed poor discrimination in the study sample.

Both models showed poor calibration and poor goodness of fit (Hosmer-Lemeshow).

All models showed poor calibration for pneumonia (see appendix 3), with a Hosmer-Lemeshow of P<0.001, indicating poor fit.

Two of the initial models showed poor model fit, but subsequent exclusion of age in one model and rank in another yielded adequate fit; neither of these variables had an unadjusted association with the dependent variable in the model.

By comparison, the one-factor models showed poorer model fit as indicated by both CFI and RMSEA fit statistics.

Age- and sex-adjusted models showed poorer OS and CSS with high levels of ESR or ALP and poorer OS, CSS, and OCS with low levels of Hb or Hct, compared with high levels of each (Model 1).

It is surprising that one-half of the models show poor results that are not much better than the Reference Model (Table 1).

This method can work well and is often applied [ 8- 15], but there are also cases in which the resulting models show poor accuracy when compared to a model which considers all possible complexes and reactions.

We have demonstrated that all models show poor to moderate discriminative ability and varying calibration for the prediction of the outcome BPD, with the exception of two models from Ryan and Laughon [ 31, 40].