Literature DB >> 15772100

Sensitivity analysis for trend tests: application to the risk of radiation exposure.

Binbing Yu1, Joseph L Gastwirth.   

Abstract

Trend tests are used to assess the relationship between multiple level treatment X and binary response R. In observational studies, however, there may be a confounder U that is associated with treatment X and causally related to response R. When the data for the confounder U are not observed, an approach for assessing the sensitivity of test results to U is provided. Its use is illustrated by examining data from a study of mutation rate after the Chernobyl accident.

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Year:  2005        PMID: 15772100     DOI: 10.1093/biostatistics/kxi003

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  3 in total

1.  Case Definition and Design Sensitivity.

Authors:  Dylan S Small; Jing Cheng; M Elizabeth Halloran; Paul R Rosenbaum
Journal:  J Am Stat Assoc       Date:  2013-01-01       Impact factor: 5.033

2.  Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia.

Authors:  José R Zubizarreta; Mark Neuman; Jeffrey H Silber; Paul R Rosenbaum
Journal:  J Am Stat Assoc       Date:  2012       Impact factor: 5.033

3.  A method of assessing the sensitivity of the Cochran-Mantel-Haenszel test to an unobserved confounder.

Authors:  Binbing Yu; Joseph L Gastwirth
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-07-13       Impact factor: 4.226

  3 in total

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