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1Multivariate techniques were used to adjust for the effects of treatment order.
2Multivariable Cox proportional hazards models were used to adjust for baseline differences.
3We used the parametric g-formula to adjust for baseline and time-varying confounders.
4So keep that in mind, we're gonna have to adjust for that.
5I've got to adjust for windage and elevation before I can shoot.
6Cox proportional hazards models were used to adjust for age and cardiovascular conditions.
7The ability to adjust for different conditions is important as well.
8Statistical controls adjust for the potentially confounding effects of underlying demand for contraception.
9Multivariable regression analysis was used to adjust for baseline differences between the genders.
10We also use the method of latent-class instrumental variables to adjust for refusers.
11The Holm step-down method was used to adjust for multiple testing.
12Multivariable logistic regression models were used to adjust for patient and provider confounders.
13Propensity scores were used to make groups comparable and to adjust for confounders.
14Propensity scores were calculated for immunosuppression choice to adjust for potential confounding factors.
15We used multivariable logistic regression and propensity score models to adjust for confounding.
16It is also used to adjust for unequal sampling fractions in sample surveys.
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