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A Trivariate Distribution for the Height, Weight, and Fat of Adult Men

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  • David E. Burmaster
  • Donald M. Murray

Abstract

Using exploratory data analysis, probability plots, scatterplots, and computer animations to rotate and visualize the data, we fit a trivariate Normal distribution to data for the height, the natural logarithm of body weight, and the body fat for 646 men between the ages of 50 and 80 years as reported by the medical staff of the U.S. Veterans Administration's “Normative Aging Study” in Boston, MA. Although these data do not include any children, women, or young men, the measurements represent the best data that we could find through a 4‐year search. We believe that these data are well measured and reliable for men in the specified age range and that these data reveal an interesting statistical pattern for use in probabilistic PBPK models.

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  • David E. Burmaster & Donald M. Murray, 1998. "A Trivariate Distribution for the Height, Weight, and Fat of Adult Men," Risk Analysis, John Wiley & Sons, vol. 18(4), pages 385-389, August.
    • Handle: RePEc:wly:riskan:v:18:y:1998:i:4:p:385-389
    DOI: 10.1111/j.1539-6924.1998.tb00352.x
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    References listed on IDEAS

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    1. Andrew E. Smith & P. Barry Ryan & John S. Evans, 1992. "The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of Risk," Risk Analysis, John Wiley & Sons, vol. 12(4), pages 467-474, December.
    2. Jennifer Brainard & David E. Burmaster, 1992. "Bivariate Distributions for Height and Weight of Men and Women in the United States," Risk Analysis, John Wiley & Sons, vol. 12(2), pages 267-275, June.
    3. David E. Burmaster & Edmund A. C. Crouch, 1997. "Lognormal Distributions for Body Weight as a Function of Age for Males and Females in the United States, 1976–1980," Risk Analysis, John Wiley & Sons, vol. 17(4), pages 499-505, August.
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    1. Randy L. Maddalena & Thomas E. McKone & Michael D. Sohn, 2004. "Standardized Approach for Developing Probabilistic Exposure Factor Distributions," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1185-1199, October.

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