Example: biology
Guideline on Missing Data in Confirmatory Clinical Trials
missing data can influence the required sample size, the estimate of treatment effect and the confidence with which data can ultimately be interpreted. As such, how to minimise the amount of missing data and how missing data are going to be handled in the analysis are critical issues that must be considered when planning a clinical trial.
Download Guideline on Missing Data in Confirmatory Clinical Trials
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