= Nan Laird
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= Nan M. Laird
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= N. M. Laird
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<Nan Laird> develops statistical methods for incomplete observations, repeated measurements and the combination of evidence across studies. Her Harvard biography identifies contributions to the <expectation-maximization algorithm>, meta-analysis, <longitudinal study>[longitudinal studies] and statistical genetics.https://hsph.harvard.edu/profile/nan-m-laird/[Institutional biography and research interests]{ref}
In a <longitudinal study>, repeated outcomes from one person are usually dependent. A model with <random effects> can represent persistent differences between people while estimating population relationships. Treating those observations as independent can distort uncertainty. Laird's work on <longitudinal study>[longitudinal analysis] addresses this connection between a scientifically plausible dependence structure and practical inference; the same concern arises when results from heterogeneous studies are combined by <random-effects meta-analysis>.
Homepage: https://hsph.harvard.edu/profile/nan-m-laird/
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