Combining several ordinal measures in clinical studies

Statistics in Medicine - Tập 23 Số 10 - Trang 1579-1592 - 2004
Knut M. Wittkowski1, Edmund Lee2, Rachel Nussbaum2, Francesca Chamian2, James G. Krueger2
1General Clinical Research Center, The Rockefeller University, New York, NY, U.S.A.
2Laboratory of Investigative Dermatology, The Rockefeller University, New York, NY, U.S.A.

Tóm tắt

AbstractIn medical research, it is rare that a single variable is sufficient to represent all relevant aspects of epidemiological risk, genomic activity, adverse events, or clinical response. Since biological systems tend to be neither linear, nor hierarchical in nature, the assumptions of traditional multivariate statistical methods based on the linear model can often not be justified on theoretical grounds. Establishing concept validity through empirical validation is not only problematic, but also time consuming. This paper proposes the use of u‐statistics for scoring multivariate ordinal data and a family of simple non‐parametric tests for analysis. The scoring method is demonstrated to be applicable to scoring clinical response profiles in the treatment of psoriasis and then to identifying genomic pathways that best correlate with these profiles. Copyright © 2004 John Wiley & Sons, Ltd.

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Statistics in Medicine

Tập 23 Số 10

1579-1592

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