Abstract: Increasing Precision of Real-World Data Estimates: The Importance of a Step-Wise Process to Limit Data Collection Errors and Data Incompleteness

 

Abstract: Increasing Precision of Real-World Data Estimates: The Importance of a Step-Wise Process to Limit Data Collection Errors and Data Incompleteness

For both prospective and retrospective observational study designs, data collection errors and missing data are inherent challenges. Our purpose was to outline principal challenges for either methodology and propose solutions aiming to increase overall quality of study data and improved precision of study results.