Sentence examples for effects were explored with from inspiring English sources

Significant interaction effects were explored with HSD Tukey post hoc tests.

Differences in utility values between demographic factors and ordering effects were explored with the Mann-Whitney U-test (two groups) or Kruskal-Wallis test (two or more groups).

Effects were explored with time updated covariates in Cox models adjusted for age, sex, body mass index (BMI), diabetes and metformin/insulin use, hypertension, heart failure, statin use, socioeconomic status, alcohol, smoking, and calendar year.

Carry-over effects were explored with mixed model ANOVAs conducted separately for each drug, including the within subjects factor of intensity (20%, 40 %, 60 %, 80 %, 100an additional between subjects factor of 'occasion' (1, 2, 3, 4).

Any statistically significant main or interaction effects were explored with post-hoc tests, using the Bonferroni correction for Type I error for each set/family of post-hoc comparisons.

Cycling effects are explored with a realistic case study corresponding to an A-CAES system design to deliver an electrical power of 250 MWel for 4 h, the daily peak demand.

Evidence for publication bias through small study effects was explored with a regression test on the diagnostic odds ratio.

The mechanism of this effect was explored with pressure-perturbation spectroscopy.

The statistically significant interaction effect was explored with two post hoc contrasts with Bonferroni correction.

Even when specific side effects were explored (eg, with the use of general questions such as, "Have you been sleeping okay?" or "Is your appetite okay?"), they were not always directly attributed to the medication.

However, some long-term effects were explored by comparing this group with the retrospective sample.