Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture models
13:22 EST 4 Jan 2013 | Wiley Biotechnology Journal
The need to use rigorous, transparent, clearly interpretable, and scientifically justified methodology for preventing and dealing with missing data in clinical trials has been a focus of much attention from regulators, practitioners, and academicians..
Original Article: Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture models
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