Modeling Nonnegative Data with Clumping at Zero: A Survey

By Yongyi Min, Alan Agresti. 2002

188 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6e416906549abdded7e1226305680dd9a92047c2

How researchers see this paper

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1. Aaron J. Boulton
2. Anne Williford

Citations in the corpus

• Analyzing Skewed Continuous Outcomes With Many Zeros: A Tutorial for Social Work and Youth Prevention Science Researchers (2018, methodology): “Furthermore, coefficients from categorical data models are more easily interpreted (e.g., as odds or risk ratios) than those obtained from models involving transformed outcomes (Min & Agresti, 2002).”