Work

Evaluation of multiple imputation methods for dealing with missing longitudinal data

Year: 2018

Type: dissertation

Abstract: © 2018 Dr. Anurika Priyanjali De Silva

Source: Minerva Access (University of Melbourne)

Authors: De Silva, Anurika Priyanjali

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Department of Social Services, Australian Government, University of Melbourne, Victorian Centre for Biostatistics, Statistical Society of Australia, Medical Research Council, National Health and Medical Research Council

Awards: Integration of biostatistics and mathematical modelling to improve the control of infectious diseases, The Victorian Centre for Applied Biostatistics (VCAB): Building core methodological capacity for population health, A program of methodological and collaborative research in biostatistics and population health

OpenAlex ID: W2913428385

Cites: 2

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Related to: 10