Sentence examples for estimated as appropriate from inspiring English sources
Descriptive statistics, frequency, means (SD) etc were estimated as appropriate.
The mean difference, the rate ratio, and the odds ratio on the treatment allocation factor were estimated as appropriate to evaluate the intervention effect.
Confidence intervals at the arbitrary levels of both 95%9595% CI) and 95% Bayesian credibility interval (95% BCI) between the 2.5th and 97.5th percentile of the posterior distribution of RR, were estimated as appropriate.
Multivariate analysis was carried out by Poisson regression, using robust variance estimates as appropriate for binary outcomes with high prevalence [ 25].
The pre-publication history for this paper can be accessed here: *symptoms: hematochezia, weight loss, anemia, changes in bowel movement habits # data available in 149 patients p = not significant, by κ2 or T-test with separate variance estimates as appropriate.
Mean differences in health status outcomes (SF-12, pain) and resource variables were compared between the treatment arms of the trial using the independent t-test of either the pooled or separate variance estimates as appropriate.
We used Pearson's χ or Fisher's exact test for nominal variables and the unpaired two tailed t test for continuous variables, using either pooled or separate variance estimates as appropriate.
The 95% CrI is the Bayesian equivalent of the classical (frequentist) 95% CI. (We have indicated 95% CI for individual study estimates and 95% CrI for pooled study estimates as appropriate).The 95% CrI may be interpreted as an interval that has a 95% probability of capturing the true value of the unknown parameter given the observed data and the prior information.
Different from proteomics, False Discovery Rates (FDR) cannot be estimated as no appropriate decoy databases can be constructed.
This value was estimated as the appropriate product of the unstandardized path coefficients connecting the intervention variable to the odds ratio of condom use outcome.
Confidence intervals (CI) were measured at 95% by the binomial distribution, or the Wilcoxon procedure, or the Taylor series estimate as appropriate [20].
