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. Medical decision making, 33 (8). pp. 1051-63. ISSN 0272-989X DOI: https://doi.org/10.1177/0272989X13492203

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