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We used marginal structural models to estimate the effect of adherence during a given month on the probability of virologic failure at the end of that month.
Both were incorporated into the statistical models to estimate the effect of Oportunidades on OP vaccination coverage.
This analysis of covariance method uses regression models to estimate the effect of treatments not included in the study.
We initially consider the consequences of using linear IV models to estimate the effect of an exposure on an outcome when the true causal relation is nonlinear.
We used linear mixed models to estimate the effect of GSTM diplotypes on lung function across time and examine interactions with tobacco smoke.
Brauer et al. (2007) used LUR models to estimate the effect of traffic-derived pollutants on asthma incidence among 4-year-old children in the Netherlands.
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We used new stochastic simulation models to estimate the effects of several interventions of this kind.
For our analysis we will use mixed models to estimate the effects of factors and interactions.
Rather, we used the model to estimate the effect of each factor and reported these estimates.
Mixed models were used to estimate the effect of atorvastatin on HbA1c as a continuous endpoint.
The presented model provides a new approach to estimate the effect of fracturing.
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