Sentence examples for variables to match from inspiring English sources

Iterating through all these variables to match production rates from the wells and known static compartment pressure can be tedious and may generate inconclusive results.

Then, we identified variables to match this conceptual model to test for association with implementation of automated eGFR reporting (Table 1).

For cases lacking a unique serum sample number, notification data and sequences were linked by using combinations of variables to match records (birth year, 4-digit postal code, date of illness onset, date of diagnosis).

We constrained our definitions of variables to match those of the original study, and it was therefore possible to track changes over time in clinical outcomes for this important vulnerable population.

Furthermore, to avoid an overlap between the same parameters in different variables, we decided not to use severity-score variables to match patients; in fact, both APACHE II and SAPS III scores include parameters of severity for respiratory or cardiac failure, and demographics such as age, which were introduced independently in the matching.

Together with logCHR, this is the variable to match stimuli on if they have to be controlled for frequency.

Together with logCHR-CD, this is the best variable to match stimuli on if they have to be controlled for frequency.

9 We then applied PS, the single composite variable, to match each high follow-up HDL-C patient with a low follow-up HDL-C patient with a very similar PS, thus matching 990 pairs (62.5% of the 1585 having low follow-up HDL-C and 89.4% of the 1108 having high follow-up HDL-C) with similar PS.

Using the AMECO database, we calibrate policy variables as to match the Spanish consolidation episodes that occurred between 1996 and 2007.

The five key variables used to match the two groups were: age, gender, impairment in activities of daily living, cognition, and falls.

No differences were observed with regard to the variables used to match groups; the mean age of adolescents was 14.2 years; 52.5% were male; 70% were post pubertal; 50% were of a medium socioeconomic stratum; and 87.5% were in high school (Table  1).> -wrap-foot> *X ± SD ANOVA, **Chi-square.