Pattern‐mixture models with proper time dependence

By Michael G. Kenward, Geert Molenberghs, Herbert Thijs. 2003

113 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8ef84c25e04daafb7490f107fca29a2f1b6ded36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Caroline Beunckens
2. Cristina Sotto
3. Michael G. Kenward
4. Geert Molenberghs
5. Nicholas J. Horton
6. Dale J. Barr
7. M. Loon
8. Aaron M. Christ

In Statistics and Probability

1. Caroline Beunckens
2. Cristina Sotto
3. Michael G. Kenward
4. Geert Molenberghs
5. Daniel M. McNeish
6. Nicholas J. Horton
7. Laura M. Stapleton
8. Aaron M. Christ

Citations in the corpus

• Every missingness not at random model has a missingness at random counterpart with equal fit (2008, methodology): “In this paper, we have shown that every MNAR model, fitted to a set of incomplete data, can be replaced by an MAR version which produces exactly the same fit to the observed data. There are several important implications of this. First, unless one puts strong a priori belief in the posited MNAR mode”