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spatial and temporal scales, leveraging cutting-edge hierarchical Bayesian modeling approaches. The Fredston Lab uses large datasets, theoretical models, and a range of statistical tools to predict marine
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statistical methods including linear models, non-linear models, survival analysis, and mixed-effects modeling. Familiarity with causal inference methods (e.g., inverse probability weighting, g-formula). Strong
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particularly interested in candidates whose research expertise complements those of the current faculty. Desired areas include (but are not limited to) applied and theoretical statistics, causal inference
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