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Auteur JUREK (Anne-M) : USA. Department of Pediatrics. University of Minnesota. Minneapolis. MN. |
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JUREK (Anne-M) : USA. Department of Pediatrics. University of Minnesota. Minneapolis. MN. ; GREENLAND (Sander) : USA. Department of Epidemiology and Department of Statistics. University of California. Los Angeles. CA. ; MALDONADO (George) : USA. Division of Environmental Health Sciences. University of Minnesota. Minneapolis. MN. |[BDSP. Notice produite par INIST-CNRS qGnk9R0x. Diffusion soumise à autorisation]. A well-known heuristic in epidemiology is that non-differential exposure or disease misclassification biases the expected values of an estimator toward the null v[...]Article
JUREK (Anne-M) : USA. Department of Pediatrics. University of Minnesota. Minneapolis. MN. ; Timothy-R CHURCH ; GREENLAND (Sander) : USA. Department of Epidemiology and Department of Statistics. University of California. Los Angeles. CA. ; George MALDONADO |[BDSP. Notice produite par INIST-CNRS zLlMhR0x. Diffusion soumise à autorisation]. Uncertainty analysis is a method, established in engineering and policy analysis but relatively new to epidemiology, for the quantitative assessment of biases in [...]Article
JUREK (Anne-M) : USA. Department of Pediatrics. University of Minnesota. Minneapolis. MN. ; Timothy-R CHURCH ; GREENLAND (Sander) : USA. Department of Epidemiology and Department of Statistics. University of California. Los Angeles. CA. ; George MALDONADO |[BDSP. Notice produite par INIST-CNRS R0xjOw3o. Diffusion soumise à autorisation]. Introduction : One important source of error in study results is error in measuring exposures. When interpreting study results, one should consider the impact tha[...]