MTPmle: A SAS Macro and Stata Programs for Marginalized Inference in Semi-Continuous Data

MTPmle: A SAS Macro and Stata Programs for Marginalized Inference in Semi-Continuous Data

We develop a SAS macro and equivalent Stata programs that provide marginalized inference for semi-continuous data using a maximum likelihood approach. These software extensions are based on recently developed methods for marginalized two-part (MTP) models. Both the SAS and Stata extensions can fit s...

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Bibliographic Details
Main Authors: Delia C. Voronca, Mulugeta Gebregziabher, Valerie Durkalski-Mauldin, Lei Liu, Leonard E. Egede
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2018-11-01
Series:Journal of Statistical Software
Subjects:
semi-continuous
marginalized two-part models
generalized gamma
log skew normal
complex survey design
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2504

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