Sentence examples for predictability evaluation from inspiring English sources

Predictability evaluation was performed by calculating fraction of ATV absorbed versus time with regression equation with in vitro profile as an input.

In the predictability evaluation, no significant difference in the rates within ±0.5 D and ±1.0 D was evident between Groups A and B; these results are in good agreement with previous results [ 15– 17] of 85 95 % for ±0.5 D and 90 100 % for ±1.0 D. Thus, SMILE surgery seems to have a similar predictability, independent of the amount of myopic correction.

The figures corresponding to the posterior visual predictive check and the normalised prediction distribution errors evaluation confirm the satisfactory predictability of the final population PK models (Supplementary material – Supplementary Figures S3A and S3B, respectively).

Finally, we provide our three analyses: the empirical observation of Maslow's hierarchy of needs [12]; the marketing application for targeted advertising; and finally the evaluation of predictability of customer movements on the territory.

Two recent studies on lung cancer [ 21] and colon cancer [ 20], where data were collected from more than one center, are used in the evaluation of the predictability and generalizability of predictive models and signatures.

The work focuses on the evaluation of the predictability of the extended corresponding state equation SPUNG in dealing with CO2 water thermodynamics.

In general, there is a need to strike a balance between flexibility and predictability in the data quality evaluation process; it will always include an element of expert judgment, but it is also, in our view, important to continuously seek to increase the predictability and transparency of this process.

5-Fluorouracil (5-FU) is a key drug in combination chemotherapy and an evaluation of the predictability of 5-FU sensitivity is important to exclude those patients who would experience adverse effects.

The predictability of these approaches, biocompatibility evaluation, and improvement by plasma coating could then be validated and confirmed in a two-year large animal study (Development, second stage) [ 14].

Two most important considerations in evaluation of survival prediction models are 1) predictability - ability to predict survival risks accurately and 2) reproducibility - ability to generalize to predict samples generated from different studies.

Since standard measures to assess predictability of survival prediction models have not been fully established, various predictability measures are considered in the evaluation.