| These methods use local properties of the likelihood to test for sensitivity to various assumptions about the missingness mechanism. |
| This method permits modeling different patterns of missingness under ignorable and nonignorable assumptions, and a multinomial-Dirichlet model is used to estimate the cell probabilities which can help to predict the winner. |
| However, there are difficulties in incorporating the complex design with typical multi-level models that are used in this type of longitudinal analysis, especially in the presence of drop-out missingness. |
| Some imputation models require the data to have a certain distribution of their missing values, their missingness pattern. |
| This procedure leads to three missingness mechanisms. |
| The paper first analyses missingness differences in these three steps using a human survey dataset, and then compares different weighting approaches. |
