Rebecca Andridge

Rebecca Andridge works on statistical methods for handling missing or biased data in surveys and health studies, including techniques like pattern-mixture models and imputation methods used to correct for nonresponse and selection bias. Much of her recent applied work uses these statistical tools in collaborative health research, particularly studies of stress, inflammation, and relationships among couples, as well as survey methodology topics like vaccine uptake and polling accuracy.

Publication output has remained fairly steady over the last decade, fluctuating between roughly 11 and 23 papers per year without a clear long-term increase or decline.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026