Analysis of recurrent hypoglycemic events.

Abstract:

:Hypoglycemia is a major safety concern for diabetic patients. Hypoglycemic events can be modeled based on time to recurrent events or count data. In this article, we evaluated a gamma frailty model with variance estimated by the inverse of observed Fisher information matrix, a gamma frailty model with the sandwich variance estimator, and a piecewise negative binomial regression model. Simulations showed that the sandwich variance estimator performed better when the frailty model is mis-specified, and the piecewise negative binomial regression sometimes fails to converge. All three methods were applied to a dataset from a clinical trial evaluating insulin treatments.

journal_name

J Biopharm Stat

authors

Ma C,Qu Y,Fu H

doi

10.1080/10543406.2020.1765370

subject

Has Abstract

pub_date

2020-05-18 00:00:00

pages

1-9

eissn

1054-3406

issn

1520-5711

pub_type

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