Multiple imputation for handling missing outcome data in randomized trials involving a mixture of independent and paired data-Reference-Cited by-同舟云学术

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Multiple imputation for handling missing outcome data in randomized trials involving a mixture of independent and paired data

Published:2021-08-15 Issue:27 Volume:40 Page:6008-6020
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Sullivan Thomas R.¹²^ORCID,Yelland Lisa N.¹²,Moreno‐Betancur Margarita³⁴,Lee Katherine J.³⁴

Affiliation:

1. SAHMRI Women & Kids, South Australian Health & Medical Research Institute Adelaide South Australia Australia

2. School of Public Health The University of Adelaide Adelaide South Australia Australia

3. Department of Paediatrics The University of Melbourne Melbourne Victoria Australia

4. Clinical Epidemiology and Biostatistics Unit Murdoch Childrens Research Institute Melbourne Victoria Australia

Funder

National Health and Medical Research Council

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9166

Reference46 articles.

1. Accounting for multiple births in randomised trials: a systematic review

2. Choice of Analytic Approach for Eye-Specific Outcomes: One Eye or Two?

3. Sample size calculations for randomised trials including both independent and paired data

4. Analysis of binary outcomes from randomised trials including multiple births: when should clustering be taken into account?

5. Handling missing data in RCTs; a review of the top medical journals

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