Sensitivity analysis: MI unleashed
Emerging
0
Citations0
Refs2023
Year
Search Works
Work Details
- 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
External Links
MENU
0
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…
0
Citations
0
References
6
Authors
0.00
FWCI
Topics
Keywords
Authors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 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) |
Related Works
10Data: OpenAlex