We conducted some additional sensitivity analyses that demonstrated that when LOCF outcomes are replaced with outcomes imputed from repeated measures likelihood based modeling (data not shown here), then patients with poorer outcomes who discontinued early would achieve somewhat better outcomes.
He's predicting it, and the certainties of his predecessors have been replaced with outcomes that can only be said to be "highly probable" or "tentatively estimated".
LOCF uses the last observed value in place of the missing outcome, whereas BOCF uses the baseline observation as the value replacing the outcome.
Nevertheless, to test for the robustness of our models, we conducted a sensitivity analysis by replacing the outcome of non-accidental hospitalization with the more specific health outcome of respiratory and circulatory hospitalization.
Logistic regression analyses (for the primary and secondary outcomes) will be used to adjust for any baseline imbalances, and imputation methods will be used to replace missing outcome data.
He has already exhausted, or else bypassed, all possibilities of replacing this outcome with a fairer or more reliable one.
It is important to emphasize here that our data certainly do not imply that serum biomarkers such as calprotectin or hs-CRP should replace clinical outcome parameters.
We used multiple imputation (data augmentation using Markov Chain Monte Carlo generation) to replace missing outcome data for the physical activity variables, height, and weight for the follow-up measure.
While mixture modeling should not replace univariate outcome analyses, using latent classes to model the multi-dimensional aspects of sexual risk behavior may capture changes in sexual risk behavior that would otherwise be undetected.
Another issue is employment and the question of how many jobs will be created and how many replaced, as an outcome of automatisation, subject to intense speculation with few reliable answers, which makes the issue somewhat challenging for policymakers to confidently anticipate [13, 27].
An important criterion for a validation study is the demonstration of the ability to correctly identify the outcomes in the assays to be replaced or the outcomes from the apical assays (OECD 2005).
