2018
DOI: 10.1111/1475-6773.12815
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Modeling Semicontinuous Longitudinal Expenditures: A Practical Guide

Abstract: Researchers should consider which modeling strategy for longitudinal expenditure outcomes is both consistent with research aims and appropriate for the data at hand.

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Cited by 20 publications
(18 citation statements)
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References 35 publications
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“…Statistical Analysis To adjust for differences in the case-mix of patients assigned to different provider types, the association between provider type and utilization and cost outcomes was examined via multivariable logistic, negative binomial, truncated negative binomial, or marginalized zero-inflated negative binomial regression models; 31 log-skew-normal marginalized two-part models; or generalized linear models using a gamma distribution, as appropriate for each outcome. 32,33 Regression models with covariate adjustment, as opposed to inverse probability of treatment weighted models, were used for consistency because weighted versions have not yet been developed for use with marginalized zero-inflated models and marginalized two-part models. These regression models were used for key outcomes related to endocrinology use and inpatient hospitalization expenditures.…”
Section: Study Data and Methodsmentioning
confidence: 99%
“…Statistical Analysis To adjust for differences in the case-mix of patients assigned to different provider types, the association between provider type and utilization and cost outcomes was examined via multivariable logistic, negative binomial, truncated negative binomial, or marginalized zero-inflated negative binomial regression models; 31 log-skew-normal marginalized two-part models; or generalized linear models using a gamma distribution, as appropriate for each outcome. 32,33 Regression models with covariate adjustment, as opposed to inverse probability of treatment weighted models, were used for consistency because weighted versions have not yet been developed for use with marginalized zero-inflated models and marginalized two-part models. These regression models were used for key outcomes related to endocrinology use and inpatient hospitalization expenditures.…”
Section: Study Data and Methodsmentioning
confidence: 99%
“…In adjusted analyses, we estimated mean total health care costs and ambulatory costs by comorbidity group, using generalized linear models (GLMs) with a gamma distribution and a log link. GLM fitted values were generated by using the recycled predictions method [ 20 , 21 ]. Because only a subset of patients used inpatient, ED, and prescription drugs, we performed two-part models to estimate each cost component.…”
Section: Methodsmentioning
confidence: 99%
“…I estimate an uncorrelated (hybrid) 6 TPM for longitudinal data (Smith, Maciejewski, and Olsen 2018):…”
Section: Methodsmentioning
confidence: 99%