Model selection and inference for censored lifetime medical expenditures.

ABSTRACT: Identifying factors associated with increased medical cost is important for many micro- and macro-institutions, including the national economy and public health, insurers and the insured. However, assembling comprehensive national databases that include both the cost and individual-level predictors can prove challenging. Alternatively, one can use data from smaller studies with the understanding that conclusions drawn from such analyses may be limited to the participant population. At the same time, smaller clinical studies have limited follow-up and lifetime medical cost may not be fully observed for all study participants. In this context, we develop new model selection methods and inference procedures for secondary analyses of clinical trial data when lifetime medical cost is subject to

SUBMITTER: Johnson BA 

PROVIDER: S-EPMC5741192 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature