An application of multivariate ranks to assess effects from combining factors: Metal exposures and semen analysis outcomes | Zendy

Ramamoorthi R. V. | Zendy; Rossano M. G. | Zendy; Paneth N. | Zendy; Gardiner J. C. | Zendy; Diamond M. P. | Zendy; Puscheck E. | Zendy; Daly D. C. | Zendy; Potter R. C. | Zendy; Wirth J. J. | Zendy

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An application of multivariate ranks to assess effects from combining factors: Metal exposures and semen analysis outcomes

Author(s) -

Ramamoorthi R. V.,

Rossano M. G.,

Paneth N.,

Gardiner J. C.,

Diamond M. P.,

Puscheck E.,

Daly D. C.,

Potter R. C.,

Wirth J. J.

Publication year - 2008

Publication title -

statistics in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.996

H-Index - 183

eISSN - 1097-0258

pISSN - 0277-6715

DOI - 10.1002/sim.3236

Subject(s) - multivariate statistics , semen , multivariate analysis , sperm , sperm motility , semen analysis , statistics , biology , medicine , andrology , mathematics , genetics , infertility , pregnancy

In studies of environmental effects on human health outcomes, it is often difficult to assess the effects of a group of exposure variables when the individual exposures do not appear to have statistically significant effects. To address this situation, we propose a method of U ‐scores applied to subsets of multivariate data. We illustrate the usefulness of this approach by applying it to data collected as part of a study on the effects of metal exposure on human semen parameters. In this analysis, profiles (pairs) of metals containing copper and/or manganese were negatively correlated with total motile sperm and profiles containing copper were negatively correlated with sperm morphology; profiles containing selenium and chromium were positively correlated with total motile sperm. Copyright © 2008 John Wiley & Sons, Ltd.

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