Mathematics
a year ago

Missing patient data in clinical trials may skew results, impacting healthcare.

Value in Health
MSR19 Missing Patient Reported Outcome Data in Clinical Trials: An Overview and Simulation Study
James S. McGinley, Andrea Savord, Eric K. H. Chan, A. Larbalestier, Yang Liu, Patricia Shepherd Delong, R. Wirth

Paper Summary

Related papers

Psychology
3 years ago

Missing data imputation breakthrough: Reinforcement learning boosts accuracy, preserves variance

Network Analysis
Missing Data
Connectivity Networks
1 view
Theme background image
Mathematics
3 years ago

Imputing Missing Data Could Transform Healthcare for Millions Worldwide

Missing Data
1 view
Theme background image
Mathematics
4 years ago

Missing data no longer a barrier to reliable medical research

Missing Data
1 view

Missing data in clinical trials can affect results. This article looks at missing patient reported outcomes (PRO) data and how it can impact trial findings. They explored different types of missing data and ways to handle it, like multiple imputation and mixed model repeated measures. The study found that missing data can influence PRO results in clinical trials.