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err2
2007 Jan 09
0
Random effects and level 1 censoring
...nction for (in this case,
right) censored results. Within (for example) an R environment, this is
easy to do and gives the same solution as survreg even if it is a little
heavy.
But where there is an hierarchical situation, we need to consider the
contributions at level 2.
y_ij=X_ij.beta'+err2_i+err1_ij
If all the units at level 1 for a given level 2 are censored, then the
information we have for the level 2 is itself censored and we should
presumably use the survivor function. Conversely if none of the units at
level 1 are censored, then the information at level 2 is complete and the
de...