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The main outcomes were diagnostic accuracy measures, estimated using sensitivity, specificity, and predictive values, along with 95% confidence intervals (CI).
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For a comparison of diversity estimates from OQ and BQ, we used Fisher's α measure estimated using equal number of randomly selected set of individuals for both OQ and BQ (757 lizards and 188 frogs each).
Estimated effect sizes, measurement variability, and correlations between baseline and follow-up measures were estimated using unpublished datasets from studies of physiologic measures in adult and pediatric populations.
Standard errors (SEboot) of evaluation measures were estimated using a bootstrapping method with 1000 replicates.
All efficiency measures were estimated using the DEAP 2.1 program created by Coelli (1996a).
The confidence intervals for these measures were estimated using bootstrap.
10 11 The interobserver reliability for these measures was estimated using Cronbach's α.
Correlations between hormonal data and anthropometrics measures were estimated using Pearson's correlation coefficient.
The effect of the independent variables on the dichotomous outcome measures was estimated using logistic regression models.
Correlations between measures were estimated using Pearson's correlation coefficient and tested for significance using a two-sided t-test test.
Associations between systolic and diastolic blood pressure (SBP and DBP, respectively) and pollutant measures were estimated using fixed-effects (conditional) linear regression with adjustment for time of day.
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