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Statistical methods for compensating for missing longitudinal data in a cluster randomised trial

SWAT: 52

Objective of this SWAT:

To investigate whether multiple imputation or maximum likelihood-based methods perform better as a statistical approach to handling missing data in a longitudinal cluster randomised  trials. To use real data, calibrated by simulations, to determine the relative power and type I error of the trial, and to identify biases that arise in effect estimates.


In Progress


Please click the links below to access the registered protocol or SWAT download bundle which includes: 1) SWAT Abstract
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