… to handle missing data. We also obtained 12 raw obesity randomized controlled trial datasets
for empirical analyses. Analyses of raw randomized controlled trial data suggested that …

… missing data are typically handled in the analysis of clinical trials, and outlines the issues
raised by missing data… When faced with missing data, we show no analysis can avoid making …

… of these missing data in the analysis can cause substantial bias in the treatment effect
estimates. We examine how missing outcome data are handled in randomized controlled trials in …

… systematic reviews, experimental trials, and observational research [1-3]… Missing data are
ubiquitous throughout various medical research designs, even randomized controlled trials (…

… More particularly, the focus of this report is the treatment of missing data in confirmatory
randomized controlled trials of drugs, devices, and biologics, although, as noted above, we …

… when analysing results of randomised clinical trials. We consider how to optimise the
handling of missing data during the planning stage of a randomised clinical trial and recommend …

… analysis strategies and subsequently to controversy in the interpretation of trial results…
missing data and some common approaches to analyzing missing data with an emphasis on study …

… of missing data and intention-to-treat (ITT) analysis of randomized controlled trials (RCTs) in
top tier medical … our findings with previous reviews related to missing data and ITT in RCTs. …

… In this chapter we give a broad introduction to the problem of missing data. We provide a …
process paying special attention to the setting of clinical studies (Section 1.2). We examine the …

… of randomised controlled trial (RCT) analysis. This will help … a randomised controlled trial
(RCT) that considers the subjects in the way they were randomised at the beginning of the trial.…