Global rank tests for multiple, possibly censored, outcomes.

ABSTRACT: Clinical trials often collect multiple outcomes on each patient, as the treatment may be expected to affect the patient on many dimensions. For example, a treatment for a neurological disease such as ALS is intended to impact several dimensions of neurological function as well as survival. The assessment of treatment on the basis of multiple outcomes is challenging, both in terms of selecting a test and interpreting the results. Several global tests have been proposed, and we provide a general approach to selecting and executing a global test. The tests require minimal parametric assumptions, are flexible about weighting of the various outcomes, and are appropriate even when some or all of the outcomes are censored. The test we propose is based on a simple scoring mechanism applied to each

SUBMITTER: Ramchandani R 

PROVIDER: S-EPMC4960007 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature