Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms
Goldstein, Harvey and Carpenter, James and Browne, William J (2014) Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms. Journal of the Royal Statistical Society, Series A, 177 (-). pp. 553-564. ISSN ISSN: 1467-985X
This is the latest version of this item.
Item Type: | Article |
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Subjects: | 3. Data Quality and Data Management > 3.6 Nonresponse 5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling |
Depositing User: | LEMMA user |
Date Deposited: | 14 May 2014 16:09 |
Last Modified: | 14 Jul 2021 13:59 |
URI: | https://eprints.ncrm.ac.uk/id/eprint/3318 |
Available Versions of this Item
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Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms. (deposited 18 Mar 2012 13:17)
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Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms. (deposited 25 Mar 2013 09:58)
- Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms. (deposited 14 May 2014 16:09) [Currently Displayed]
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Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms. (deposited 25 Mar 2013 09:58)