Mis_ing d_ta project receives PCORI funding
RSPH researchers are leading a project to develop methods to account for missing data in large observational studies. The hope is that any proposed methods will enable investigators to obtain robust and valid results on patient outcomes while educating them on the application of statistical methods for missing data, says project leader Qi Long, associate professor of biostatistics and bioinformatics.
The project is funded by a grant from PCORI—the Patient-Centered Outcomes Research Institute—and inspired by the Paul Coverdell National Acute Stroke Registry.
"Missing data can seriously compromise statistical analysis and the validity of findings," says Long. "Existing methods likely lead to biased results that could produce harmful effects on patient outcomes, wrong allocations, and a waste of resources. Our proposed methods, applied to the Coverdell Registry data, will identify important factors, steps, and gaps in patient care that would otherwise be missed."
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