Sensitivity analysis: MI unleashed

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2023
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  • DOI 10.1002/9781119756118.ch10
  • OpenAlex ID W4384935428
  • Type Other
  • Language EN
  • Published 21 Jul 2023
  • Pages 245–293
  • Countries 1
  • Institutions 5
  • Added 22 Jul 2023
  • Updated 16 Oct 2026
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Sensitivity analysis: MI unleashed

Other 2023 EN

In this chapter, the authors review the theory underlying the analysis of data when missing values are missing not at random, in particular focusing on the contrast between the pattern mixture and selection model approaches. They also reviews some of the issues that have to be considered in framing sensitivity analyses. The authors outline the multiple imputation approach to pattern mixture modell…

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6 authors
#AuthorInstitutionsORCID
1 James R. Carpenter London School of Hygiene & Tro… (GB)
2 Michael G. Kenward London School of Hygiene & Tro… (GB)
3 Jonathan William Bartlett University of Bath (GB)
4 Tim Peter Morris MRC Clinical Trials Unit at UC… (GB) University College London (GB)
5 Matteo Quartagno University College London (GB)
6 Angela Wood University of Cambridge (GB)

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