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Direct and flexible marginal inference for semicontinuous data.

Publication ,  Journal Article
Smith, VA; Preisser, JS
Published in: Stat Methods Med Res
December 2017

The marginalized two-part (MTP) model for semicontinuous data proposed by Smith et al. provides direct inference for the effect of covariates on the marginal mean of positively continuous data with zeros. This brief note addresses mischaracterizations of the MTP model by Gebregziabher et al. Additionally, the MTP model is extended to incorporate the three-parameter generalized gamma distribution, which takes many well-known distributions as special cases, including the Weibull, gamma, inverse gamma, and log-normal distributions.

Duke Scholars

Published In

Stat Methods Med Res

DOI

EISSN

1477-0334

Publication Date

December 2017

Volume

26

Issue

6

Start / End Page

2962 / 2965

Location

England

Related Subject Headings

  • Statistics & Probability
  • Regression Analysis
  • Models, Statistical
  • Humans
  • Data Interpretation, Statistical
  • Biostatistics
  • 4905 Statistics
  • 4202 Epidemiology
  • 1117 Public Health and Health Services
  • 0104 Statistics
 

Citation

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Smith, V. A., & Preisser, J. S. (2017). Direct and flexible marginal inference for semicontinuous data. Stat Methods Med Res, 26(6), 2962–2965. https://doi.org/10.1177/0962280215602290
Smith, Valerie A., and John S. Preisser. “Direct and flexible marginal inference for semicontinuous data.Stat Methods Med Res 26, no. 6 (December 2017): 2962–65. https://doi.org/10.1177/0962280215602290.
Smith VA, Preisser JS. Direct and flexible marginal inference for semicontinuous data. Stat Methods Med Res. 2017 Dec;26(6):2962–5.
Smith, Valerie A., and John S. Preisser. “Direct and flexible marginal inference for semicontinuous data.Stat Methods Med Res, vol. 26, no. 6, Dec. 2017, pp. 2962–65. Pubmed, doi:10.1177/0962280215602290.
Smith VA, Preisser JS. Direct and flexible marginal inference for semicontinuous data. Stat Methods Med Res. 2017 Dec;26(6):2962–2965.
Journal cover image

Published In

Stat Methods Med Res

DOI

EISSN

1477-0334

Publication Date

December 2017

Volume

26

Issue

6

Start / End Page

2962 / 2965

Location

England

Related Subject Headings

  • Statistics & Probability
  • Regression Analysis
  • Models, Statistical
  • Humans
  • Data Interpretation, Statistical
  • Biostatistics
  • 4905 Statistics
  • 4202 Epidemiology
  • 1117 Public Health and Health Services
  • 0104 Statistics