Influence analysis to assess sensitivity of the dropout process

By Geert Molenberghs, Geert Verbeke, Herbert Thijs, Emmanuel Lesaffre, Michael G. Kenward. 2001

52 citations recorded by the source corpus.

Subfields: Genetics, Small Animals, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/70c4d73aa3d89cc71431429ad2ccc9ebc17f6ab6

How researchers see this paper

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

In Genetics

1. Geert Molenberghs
2. Raymond J. Carroll

In Statistics and Probability

1. Caroline Beunckens
2. Michael G. Kenward
3. Geert Molenberghs
4. Herbert Thijs
5. C. Mallinckrodt
6. Raymond J. Carroll
7. Daniel M. McNeish
8. Jianqing Fan

Citations in the corpus

• Analyzing incomplete longitudinal clinical trial data. (2004, result): “However, only rarely is such an assumption known to hold (Murray and Findlay, 1988). Nevertheless, ignorable analyses may provide reasonably stable results, even when the assumption of MAR is violated, in the sense that such analyses constrain the behavior of the unseen data to be similar to that of”