A Bayesian parametric approach to handle missing longitudinal outcome data in trial‐based health economic evaluations
- Submitting institution
-
University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 10502
- Type
- D - Journal article
- DOI
-
10.1111/rssa.12522
- Title of journal
- Journal of the Royal Statistical Society: Series A (Statistics in Society)
- Article number
- rssa.12522
- First page
- 607
- Volume
- 183
- Issue
- 2
- ISSN
- 0964-1998
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://rss.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Frssa.12522&file=rssa12522-sup-0001-Appendix.pdf
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -