Robert M. Cronin|Xiaoke Feng|Lina Sulieman|Brandy Mapes|Shawn Garbett|Ashley Able|Ryan Hale|Mick P. Couper|Heather Sansbury|Brian K. Ahmedani|Qingxia Chen
Importance of missingness in baseline variables: A case study of the All of Us Research Program
The Ohio State University|Vanderbilt University Medical Center|Vanderbilt University Medical Center|Vanderbilt University Medical Center|Vanderbilt University Medical Center|Vanderbilt University Medical Center|Vanderbilt University Medical Center|University of Michigan–Ann Arbor|Michigan United|National Institutes of Health|Henry Ford Health System|Vanderbilt University Medical Center
us research program collects data multiple information sources including health surveys build national longitudinal research repository researchers use advance precision medicine missing survey responses pose challenges study conclusions describe missingness us baseline surveyswe extracted survey responses may 31 2017 september 30 2020 missing percentages groups historically underrepresented biomedical research compared represented groups associations missing percentages age health literacy score survey completion date evaluated used negative binomial regression evaluate participant characteristics number missed questions total eligible questions participantthe dataset analyzed contained data 334183 participants submitted least one baseline survey almost 970 participants completed baseline surveys 541 02 participants skipped questions least one baseline surveys median skip rate 50 questions interquartile range iqr 25 79 historically underrepresented groups associated higher missingness incidence rate ratio irr 95 ci 126 125 127 blackafrican american compared white missing percentages similar survey completion date participant age health literacy score skipping specific questions associated higher missingness irrs 95 ci 139 138 140 skipping income 192 189 195 skipping education 219 209230 skipping sexual gender questionssurveys us research program form essential component data researchers use perform analyses missingness low us baseline surveys group differences exist additional statistical methods careful analysis surveys could help mitigate challenges validity conclusions