Sentence examples for substantial reproducibility from inspiring English sources

The temporal patterns of haemodynamic responses revealed substantial reproducibility.

Further, only six out of the ten tests for LMC were classified as having substantial reproducibility with kappa > 0.60 [ 19].

For the BT method applied to the current study, a substantial reproducibility was found for the knees (κ 0.62) [ 20].

Still, an inter-tester reproducibility study for a previously similar protocol as applied in the current study was performed and moderate to substantial reproducibility was found [ 20].

The results indicate almost perfect reproducibility for HF and TF; substantial reproducibility for NF and CC; moderate agreement for HLB and NLB; and poor reproducibility for CT, HR and TTR.

Interpretation of ICC was categorized according to Landis and Koch [ 20] as follows: <0, no reproducibility; 0.0 0.20, slight reproducibility; 0.21 0.40, fair reproducibility; 0.41 0.60, moderate reproducibility; 0.61 0.80, substantial reproducibility; and 0.81 1.00, almost perfect reproducibility.

The average index computed over 500 random data splits was plotted against the number of clusters to identify the number of clusters above which there was a substantial drop in reproducibility.

Demographic questions showed the highest reproducibility, questions regarding health risk factors, such as smoking and alcohol consumption, showed substantial to almost perfect agreement, while chronic conditions variables were substantially reproducible where prevalence estimates were not close to zero.

TPC and interictal WPH diagnosis showed good test-retest reproducibility and substantial intra-rater agreement, respectively.

Even with the above limitations, TPC and interictal WPH diagnosis showed good test-retest reproducibility and substantial intra-rater agreement, respectively.

Despite advances in microarray technology that have led to increased reproducibility and substantial reductions in the cost of microarrays, the successful use of this technology is still elusive for many researchers, and microarray data analysis in particular presents a substantial bottleneck for many biomedical researchers.