Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index.
| Author | |
|---|---|
| Abstract |
:
Conventional statistical methods often test for group differences in a single parameter of a distribution, usually the conditional mean (for example, differences in mean body mass index (BMI; kg m) by education category) under specific distributional assumptions. However, parameters other than the mean may of be interest, and the distributional assumptions of conventional statistical methods may be violated in some situations. |
| Year of Publication |
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2018
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| Journal |
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International journal of obesity (2005)
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| Volume |
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42
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| Issue |
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4
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| Number of Pages |
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930-933
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| ISSN Number |
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0307-0565
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| URL |
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http://dx.doi.org/10.1038/ijo.2017.262
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| DOI |
:
10.1038/ijo.2017.262
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| Short Title |
:
Int J Obes (Lond)
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| Download citation |