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Compared with other forecasting techniques (e.g., contingency planning, sensitivity analysis, etc)., SPA shows some advantages in that: it considers combinations of uncertain events, not single uncertainties; it addresses significant interactions among all major variables, not just a few; it is less formalized and more flexible.
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We also planned sensitivity analyses to explore the influence of weaning and sedation protocols on these outcomes.
Planned sensitivity analyses.
Two additional a priori planned sensitivity analysis were performed.
We also planned sensitivity analyses with inclusion of studies involving GKI regimens or perioperative patients.
To assess the robustness of the results we planned sensitivity analyses that excluded quasi-randomised retention trials.
A priori, we planned sensitivity and subgroup analyses to explain the differences among study results and anticipating heterogeneity in pooling across studies for selected outcomes.
To address methodological concerns, we planned sensitivity analyses, which restricted analyses to: (1) studies which adjusted for covariates and (2) studies which ascertained circumcision status by clinical exam.
We also planned sensitivity analysis based on methodological features of the included trials (trials reporting adequate allocation concealment compared with all other trials).
To conduct planned sensitivity and subgroup analyses of primary outcomes, two composite scores will be created: one for adherence to positive health behaviour, and one for use of recommended preventative care.
Thus in future epidemiological studies of birth outcomes the analytical design will need to consider characteristics of potential spatial and temporal confounders and plan sensitivity analyses accordingly to better interpret results.
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