Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials.

Gomes, M; Díaz-Ordaz, K; Grieve, R; Kenward, MG; (2013) Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials. Med Decis Making , 33 (8) pp. 1051-1063. 10.1177/0272989X13492203 . Green open access

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