
TL;DR
Nan Laird's pioneering work in statistical methods for longitudinal data, missing data, and meta-analysis has significantly advanced biostatistics, with her influential EM algorithm paper and applied research impacting medicine and genetics.
Contribution
This interview highlights Nan Laird's fundamental contributions to biostatistics, including her development of key methods and her influence across multiple scientific disciplines.
Findings
Developed influential statistical methods for longitudinal data
Contributed to the understanding of missing data techniques
Her work on the EM algorithm is among the most cited in science
Abstract
Nan McKenzie Laird is the Harvey V. Fineberg Professor of Biostatistics at the Harvard T. H. Chan School of Public Health. She has made fundamental contributions to statistical methods for longitudinal data analysis, missing data and meta-analysis. In addition, she is widely known for her work in statistical genetics and in statistical methods for psychiatric epidemiology. Her 1977 paper with Dempster and Rubin on the EM algorithm is among the top 100 most highly cited papers in science [Nature 524 (2014) 550-553]. Her applied work on medical practice errors is widely cited among the medical malpractice community. Nan was born in Gainesville, Florida, in 1943. Shortly thereafter, her parents Angus McKenzie Laird and Myra Adelia Doyle, moved to Tallahassee, Florida, with Nan and her sister Victoria Mell. Nan started college at Rice University in 1961, but then transferred to the…
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