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.
No takes yet. Share an insight, caveat, or question.
Binbing Yu (2005) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: