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Biostatistics 2005 6(2):201-209; doi:10.1093/biostatistics/kxi003
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© The Author 2005. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oupjournals.org.

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

Binbing Yu*

Information Management Services, Inc., 12501 Prosperity Dr. Suite 200, Silver Spring, MD 20904, USA

Joseph L. Gastwirth

Department of Statistics, The George Washington University, 2140 Pennsylvania Avenue, NW, Washington, DC 20052, USA

* To whom correspondence should be addressed. yub{at}imsweb.com

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.

Keywords: Omitted variable; Sensitivity analysis; Trend test


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Home page
 Phil Trans R Soc AHome page
B. Yu and J. L Gastwirth
A method of assessing the sensitivity of the Cochran-Mantel-Haenszel test to an unobserved confounder
Phil Trans R Soc A, July 13, 2008; 366(1874): 2377 - 2388.
[Abstract] [Full Text] [PDF]


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