… We summarize issues that arise when considering quality of life (QOL) data in cancer clinical
trials, especially those related to missing data. We describe different types of missing data …

… and valid method for handling incomplete data in clinical research. This article will provide
a … for handling incomplete data (and how different methods may impact subsequent study …

… trials; how approaches for handling missing data have evolved over the last decade; and
implications for interpreting clinical data … using the SCALE phase 3a clinical trial program as an …

Aim. The aims of this study were to highlight the problems associated with missing data in
healthcare research and to demonstrate the use of several techniques for dealing with missing …

… decided to first evaluate methods to handle missing data in the absence of a treatment effect
(OR = 1). Additionally, we simulated a randomized trial with dichotomous outcomes and a …

… used for managing missing data in HIV prevention trials, we review the underlying assumptions
for managing missing data. Assumptions for managing missing values are built upon …

… missing data.” We agree with the implication of this recommendation that current approaches
to handling missing data in clinical trials … likelihood methods to handle missing data, but the …

… missing data in cohort studies and the continuing use of inappropriate methods to handle
missing data … for authors so that the amount of missing data and how this was accounted for in …

… with missing data in cancer clinical trials’, Statistics in Medicine, 17, 653—666 (1998). 6.
Proceedings of the Workshop on missing data in quality of life research in cancer clinical trials: …

… [1] The purpose of the document was to provide 18 recommendations to address missing
data in clinical trials through careful trial design, conduct, and analysis. This document was …