Fitting marginalized two-part models to semicontinuous survey data arising from complex samples.

ABSTRACT:

Objective

To accurately model semicontinuous data from complex surveys, we extend marginalized two-part models to a design-based inferential framework and provide guidance on incorporating complex sample designs.

Data sources

2014 Medical Expenditure Panel Survey (MEPS).

Study design

We describe the use of pseudo-Maximum Likelihood Estimation and Jackknife Repeated Replication for estimating model parameters and sampling variance, respectively. We illustrate our approach using MEPS, modeling total healthcare expenditures in 2014 as a function of respondents' age and family income. We provide SAS and R code for implementing the extension, assessing model-fit indices, and evaluating the need to incorporate complex sampling features.

Data extraction methods

Data o

SUBMITTER: Smith VA 

PROVIDER: S-EPMC8143695 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature