… Missing data in clinical trials is a well-known problem, and … study shows how well-established
missing data theory can be applied to efficacy data collected in a long-term open-label trial …

… missing data in longitudinal clinical trials. Based on his extensive experience with missing
data… and on ways to prevent missing data through appropriate trial design and conduct. He …

… Problems associated with missing data … that missing data place on how data from a clinical
trial may be analyzed. For example, in a longitudinal study where multiple data points are …

… trials reveals the overall conclusion to be robust to different assumptions about the missing
data. … Wood AM, White IR, Thompson SG Are missing outcome data adequately handled? A …

… incomplete datasets. Over the past several decades, statistical methods to handle missing
data under certain presumed missing … in solving problems where missing data are present. We …

… This monograph reviews the issues of raised by missing data in clinical trials, and describes
… by missing data. We propose a systematic approach to handling missing data in clinical trials…

… Properly conducted clinical trial can limit the extent of missing data. This article aims … study
design and its conduct which leads to missing values. Some measures for improving the study …

… The missing data methods described in this article deal with incomplete data from the perspective
of … of longitudinal data analysis methods for clinical trials and epidemiological studies. …

… In Chapter 26 we analyse quality-of-life data from a clinical trial with breast cancer patients.
We must emphasize that, in keeping with the theme of the book, our coverage should not in …

… set of disease activity measures for rheumatoid arthritis clinical trials. The Committee on
Outcome Measures in Rheumatoid Arthritis Clinical Trials. Arthritis Rheum. 1993;36(6):729–40. …