Why missing data should not be ignored and Bayesian methods are good
Mason, Alexina (2011) Why missing data should not be ignored and Bayesian methods are good. In: Seminar to the Neonatal Research Team, Chelsea and Westminster Hospital, April 8 2011, Chelsea and Westminster Hospital. (Unpublished)
Preview
NonTechnicalMissingTalkSlides.pdf - Presentation
Download (944kB) | Preview
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Subjects: | 3. Data Quality and Data Management > 3.6 Nonresponse 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference |
| Depositing User: | BIAS user |
| Date Deposited: | 29 Jun 2011 09:59 |
| Last Modified: | 14 Jul 2021 13:54 |
| URI: | https://eprints.ncrm.ac.uk/id/eprint/1827 |
Actions (login required)
- View Item