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These incremental treatment effects will be estimated using multivariate ordinary least squares regressions, adjusting for baseline differences among treatment groups.
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According to the former, the causal effect is estimated using multivariate regression.
Annualized cost differences (CDs) between periods were estimated using multivariate regressions.
SEA was estimated using multivariate ellipse based metrics, which are bivariate equivalents to standard deviations in univariate analysis (Jackson et al. 2011).
Adjusted RRR were estimated using multivariate multinomial logistic regression models.
Adjusted OR were estimated using multivariate logistic regression models.
A degree of heterogeneity was estimated using multivariate meta-analysis method [ 23].
The effect of breastfeeding duration on weight status was estimated using multivariate logistic regression analysis.
The risk of breast cancer was estimated using multivariate logistic regression with STATA software.
The relationship between glucose tolerance status and depressive symptoms was estimated using multivariate logistic regression analysis.
Hazard ratios (HRs) of being dispensed antihypertensive drugs were estimated using multivariate time-dependent Cox proportional hazards regression models.
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