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

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

doi:10.1002/sim.3236

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

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

Animal and Food Sciences

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	3503-3514
Number of pages	12
Journal	Statistics in Medicine
Volume	27
Issue number	18
DOIs	https://doi.org/10.1002/sim.3236
State	Published - Aug 15 2008

Keywords

Environmental health
Metals
Semen parameters
Sperm
U-scores

ASJC Scopus subject areas

Epidemiology
Statistics and Probability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/sim.3236

Cite this

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abstract = "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.",

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T1 - An application of multivariate ranks to assess effects from combining factors

T2 - Metal exposures and semen analysis outcomes

AU - Ramamoorthi, R. V.

AU - Rossano, M. G.

AU - Paneth, N.

AU - Gardiner, J. C.

AU - Diamond, M. P.

AU - Puscheck, E.

AU - Daly, D. C.

AU - Potter, R. C.

AU - Wirth, J. J.

PY - 2008/8/15

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AB - 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.

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KW - Metals

KW - Semen parameters

KW - Sperm

KW - U-scores

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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