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Dr. Eisen’s research is at the interface between epidemiologic methods and applied public health, and bridges the fields of environmental health, statistics and epidemiology. By developing new analytical approaches and adapting innovative statistical methods for exposure-response modeling, she advances methodology in the field as well as knowledge about occupational causes of disease. In her early studies of pulmonary function, she identified excess test variability (poor reproducibility) of FEV1 as a biomarker of impaired respiratory health and a source of selection bias in epidemiologic studies. These findings led to changes in the American Thoracic Society statement on standardizing spirometry. She has studied the health effects of metalworking fluid exposure in a cohort of autoworkers. She developed a strategy for reducing healthy worker survivor bias due to job transfer in a cross-sectional study of asthma. Her ongoing cohort study of cancer in the large UAW-GM cohort of autoworkers, has led to positive associations between exposure to oil based fluids and cancers of the larynx, rectum and prostate, in a series of nested case-control studies. These exposure-response results depended on the application of penalized splines in Cox models to fit nonlinear exposure-response for cancer incidence in relation to metalworking fluids. She has applied smoothing models to studies of workers exposed to other environmental exposures, and evaluated the performance of penalized splines, compared with other smoothing methods, in simulations studies.
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