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Exact(5)
Analyses were repeated using propensity score methods adjusted for clinical and health care utilization variables.
Where possible, we extracted the statistical methods used to analyse the trial along with details describing whether these methods adjusted for clustering or other covariates.
With an ageing population and increasing incidence of pre-diabetes and diabetes, it is of high importance to construct, implement and evaluate cost-effective preventive methods adjusted for the health care system [ 41].
For efficacy endpoints, to provide a quantitative assessment of the magnitude of differences in efficacy between the two durations, 95% confidence intervals (CI) along with corresponding 2-sided P values were calculated using Cochran-Mantel-Haenszel methods adjusted for GT-1 subtype (1a or 1b).
To estimate the risks of ETS exposure by sociodemographic variables, we calculated unadjusted odds ratios (OR) and adjusted odds ratios (aOR) for exposure to ETS at home and work using logistic regression methods adjusted for all sociodemographic variables (sex, age, education, income, location of residence, marital status, and occupation).
Similar(55)
Available methods adjust for selection bias using an array of mostly untestable assumptions, with a cost-effectiveness evaluation requiring consideration of a broader range of issues compared to other observational studies.
Standard statistical methods for the analysis of censored or incomplete observations all require the assumption of missing at random to some degree, and none of these methods adjust for the potential bias introduced by post hoc subset selection.
It may well be that future methods adjusting for these biases change the number of positively selected coding regions, invalidating this first conclusion.
Several methods adjust for urine volume (Boeniger et al. 1993; Teass et al. 1998).
12 Existing methods adjust for age, sex, and comorbidities but do not adjust for severity of illness, as indicated by physiological measures or blood tests.
Comparisons between groups for continuous variables were performed using two-sample t tests and regression methods, adjusting for the baseline value of the variable.
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