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
APA
Chicago
ICMJE
MLA
NLM
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.
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