Return-to-baselineBOCFMultiple imputationDiscontinuation of assigned therapy in longitudinal clinical trials is often inevitable due to various reasons such as intolerability or lack of efficacy. When the primary outcome of interest is the mean difference between treatment groups at the end of the ...
Returning to baseline (RTB) has been a practical method for handling missing data. Here we consider longitudinal clinical trials with daily patient reported outcomes (PROs), where efficacy endpoints are often defined as the average daily values in a cycle (such as a month or a week). The con...
6 and 12 months post-randomisation. The primary objective is to establish whether the ROWTATE VR intervention plus usual care is more effective than usual care alone for improving participants’ self-reported return to work/education for at least 80% of pre-injury...
In this paper, we build a two-level constrained longitudinal data analysis (cLDA) model on daily values and propose two-level RTB method to impute daily values. Standard multiple imputation (MI) approach and likelihood based approach are proposed and evaluated by simulations.Man Jin...
A nonparametric multiple missing value imputation approach is used to improve model estimation when not enough observations of field returns are available at early stage of product life. Tests of the model and the missing value imputation approach using actual HDD field survival data suggest they ...
A nonparametric multiple missing value imputation approach is used to improve model estimation when not enough observations of field returns are available at early stage of product life. Tests of the model and the missing value imputation approach using actual HDD field survival data suggest they ...