Sentence examples for robust adjustment of from inspiring English sources
This work presents the application of Bilinear Matrix Inequalities to the robust adjustment of Power System Stabilizers with pre-defined structure.
*Prevalence ratio (PR) estimated by the Poisson regression model with robust adjustment of the standard errors.
PR – Prevalence ratio; CI – Confidence interval; *Prevalence ratio (PR) estimated by the Poisson regression model with robust adjustment of the standard errors.
The multivariable analysis employed Poisson regression with robust adjustment of variance with presence of diarrhea during the previous week as the outcome variable.
The Poisson regression model with robust adjustment of variance was used to investigate the associations between independent variables and outcomes because the prevalence rates of violence detected were higher than 10%.
Crude and adjusted prevalence ratios (PR) with their respective 95% confidence intervals (95%CI) were calculated by Poisson regression with robust adjustment of variance since the prevalence of PNNSH was more than 10% in both cities [ 25].
The strengths of this study, including the large sample size and robust adjustment for comprehensive characteristics of laboring women, institutions, and providers, allowed us to obtain an accurate estimate of the independent contribution of the adolescent mothers with singleton births to the identification of medical problems in the antenatal and perinatal periods.
The first advantage of ED approach is that it can help make robust adjustment for the PD method in attribution analysis.
In the present study, the population of patients is large enough to allow for robust adjustments for comorbidities, extensive subset analysis, and development of propensity scores.
Similarly, the findings for current allergic rhinoconjunctivitis were robust to additional adjustment of analyses for the history of eczema or breastfeeding (data not shown).
Our findings are consistent with results from previous studies of women with hGDM versus unaffected women that have not shown robust associations after adjustment of BMI or other markers of adiposity (1– 4).
