Abstract
When analysis of covariance is used for the estimation of an intervention effect, a problem arises when a baseline measurement is available for a particular subject, while all follow-up measurements are missing. This chapter provides and compares different solutions to deal with this problem. These solutions include ignoring these subjects, using an alternative repeated measures (mixed model) analysis and multiple imputation. Besides the comparison between the different solutions and a recommendation regarding these solutions, the chapter also includes a discussing about the use of sensitivity analysis.
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Twisk, J.W.R. (2021). What to Do When Only a Baseline Measurement Is Available. In: Analysis of Data from Randomized Controlled Trials. Springer, Cham. https://doi.org/10.1007/978-3-030-81865-4_9
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DOI: https://doi.org/10.1007/978-3-030-81865-4_9
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