Ensure that you also do this after importing the data in Table 2. To ensure that the data has been imported correctly and all variables are specified correctly, the summary function can be used.
Multiple imputation [ 10] and model-based approaches, such as mixed models [ 11] and weighted generalized estimating equations (GEE) [ 12] for repeatedly measured outcomes, based on all observed data can be valid and unbiased methods for MAR data, as long as the models are specified correctly.
While the primary model is specified correctly, it is important to perform checks on the robustness of such a model to ensure that our results are consistent across multiple specifications, which are reported in Tables 6 and 7.
This approach results in more efficient estimates of the treatment effect when the response pattern is specified correctly and minimizes the bias in the estimate when the hypothesized response pattern is misspecified.
They demonstrate that the performance of PMM and LRD can be acceptable when the imputation model is specified correctly.
In this synthetic, weighted sample, treatment assignment is not confounded with measured baseline covariates if the propensity score model has been specified correctly [ 4, 7].
Further, while the Cox PH model may be valid, other parametric models will produce more precise estimates where the distribution is specified correctly.
Furthermore, it shows that the standard and adaptive permutation approaches provide similar p-values regardless if the model is specified correctly.
If the imputation model is specified correctly, Rubin's rules lead to consistent parameter estimation and confidence intervals that fully incorporate uncertainty due to missing data [ 6].
For removed structures or organs, answers were scored as "correct" if all removed structures had been specified correctly, "partially correct" if there were one or two mistakes, and "wrong" if there were three or more mistakes.
30 31 Model-based methods include linear mixed models, valid for MAR data, if the model is specified correctly, and GEE, which is valid under the stronger MCAR assumption as long as there are a large number of clusters.
