Sentence examples for indicator analyses were from inspiring English sources

Indicator analyses were conducted across the landscape, using two well-established methods (IndVal and SIMPER).

Significance level for MRPP and the Dufrêne & Legendre indicator analyses were set at α = 0.05.

All indicator analyses were performed in R using the "duleg" function from the labdsv package [66].

Community-scale multivariate analyses including non-metric multidimensional scaling (nMDS), multiresponse permutation procedure (MRPP), and the Dufrêne & Legendre indicator analyses were performed in R [36] using statistical packages vegan [37], ecodist [38], BiodiversityR [39], and labdsv [40].

All biochemical indicator analyses were carried out on serum blood samples.

In univariate analysis, none of the biological indicators analysed were correlated with tumour recurrence using the log-rank test (P>0.1, respectively) (data not shown), except that muscle-invasive tumours tended to have a higher risk of local recurrence (P=0.06).

Indicator species analyses were performed where partial Mantel tests indicated significant differences in frequency and per cent cover between the vegetation in thistle versus non-thistle plots (Table  3).

For the indicator specialist assessment analyses were divided according to gender.

Because the latter definition used indicator variables, the analyses were performed on a subset of the cohort in which the resulting variables were mutually exclusive.

The key outcome indicators used for analyses were (1) CCU with commercial sex partners and (2) STI treatment-seeking from government health facilities.

All predisposing and enabling factors that showed a statistically significant association with maternal oral health indicators in bivariate analyses were included in the multivariable models.Tthe ORs for having CPI ≥1 were higher for women aged 21 30 yrs (OR = 1.8, 95% CI 1.2-2.8), and 31 45 yrs (OR = 3.7, 95% CI 2.1-6.6 2.1-6.6ed with their comparedarts belowith yrs.