Multiple imputation for missing data in a longitudinal cohort study: a tutorial based on a detailed case study involving imputation of missing outcome data
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple
times and the resulting estimates of the parameter (s) of interest are combined across the …
times and the resulting estimates of the parameter (s) of interest are combined across the …
Multiple Imputation for Missing Data in a Longitudinal Cohort Study: A Tutorial Based on a Detailed Case Study Involving Imputation of Missing Outcome Data.
KJ Lee, G Roberts, LW Doyle, PJ Anderson… - International Journal of …, 2016 - ERIC
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple
times and the resulting estimates of the parameter (s) of interest are combined across the …
times and the resulting estimates of the parameter (s) of interest are combined across the …
Multiple imputation for missing data in a longitudinal cohort study: a tutorial based on a detailed case study involving imputation of missing outcome data
KJ Lee, G Roberts, LW Doyle… - … Journal of Social …, 2016 - research.monash.edu
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple
times and the resulting estimates of the parameter (s) of interest are combined across the …
times and the resulting estimates of the parameter (s) of interest are combined across the …
Multiple imputation for missing data in a longitudinal cohort study: A tutorial based on a detailed case study involving imputation of missing outcome data.
KJ Lee, G Roberts, LW Doyle… - … Journal of Social …, 2016 - psycnet.apa.org
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple
times and the resulting estimates of the parameter (s) of interest are combined across the …
times and the resulting estimates of the parameter (s) of interest are combined across the …
Multiple imputation for missing data in a longitudinal cohort study: a tutorial based on a detailed case study involving imputation of missing outcome data.
KJ Lee, G Roberts, LW Doyle… - … Journal of Social …, 2016 - search.ebscohost.com
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple
times and the resulting estimates of the parameter (s) of interest are combined across the …
times and the resulting estimates of the parameter (s) of interest are combined across the …