Sensitivity Analyses for Missing Data Assumptions in Clinical Trials
Sensitivity Analyses for Missing Data Assumptions in Clinical Trials How to Conduct Sensitivity Analyses for Missing Data Assumptions in Clinical Trials Missing data in clinical trials introduces uncertainty that can threaten the reliability of results. While primary analyses often assume missing at random (MAR), real-world data may violate this assumption. Sensitivity analyses are therefore essential…
Read More “Sensitivity Analyses for Missing Data Assumptions in Clinical Trials” »