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半连续数据的直接灵活边际推断

Direct and flexible marginal inference for semicontinuous data.

作者信息

Smith Valerie A, Preisser John S

机构信息

1 Center for Health Services Research in Primary Care, Durham VAMC, Durham, NC, USA.

2 Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Stat Methods Med Res. 2017 Dec;26(6):2962-2965. doi: 10.1177/0962280215602290. Epub 2015 Sep 1.

Abstract

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.

摘要

史密斯等人提出的用于半连续数据的边际化两部分(MTP)模型,为协变量对具有零值的正连续数据的边际均值的影响提供了直接推断。本简短说明纠正了格布雷齐亚贝尔等人对MTP模型的错误描述。此外,MTP模型被扩展以纳入三参数广义伽马分布,该分布以许多著名分布作为特殊情况,包括威布尔分布、伽马分布、逆伽马分布和对数正态分布。

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