Health services data often contain a high proportion of zeros. In studies examining patient
hospitalization rates, for instance, many patients will have no hospitalizations, resulting in a …

Longitudinal zero-inflated count data arise frequently in substance use research when
assessing the effects of behavioral and pharmacological interventions. Zero-inflated count …

Over half a million Americans are affected by cirrhosis, the cause of end‐stage liver disease
(ESLD). Little is known about how symptom burden changes over time in adults with ESLD …

Background Sleep apnea patients on CPAP therapy exhibit differences in how they adhere
to the therapy. Previous studies have demonstrated the benefit of describing adherence in …

Linear‐mixed models are frequently used to obtain model‐based estimators in small area
estimation (SAE) problems. Such models, however, are not suitable when the target variable …

Maternal mortality remains very high in Mozambique, with estimates from 2015 showing a
maternal mortality ratio of 489 deaths per 100,000 live births, even though the rates tend to …

Longitudinal zero-inflated count data are encountered frequently in substance-use research
when assessing the effects of covariates and risk factors on outcomes. Often, both the time to …

Health services data often contain a high proportion of zeros. In studies examining patient
hospitalization rates, for instance, many patients will have no hospitalizations, resulting in a …

Joint modeling of zero-inflated count and time-to-event data is usually performed by
applying the shared random effect model. This kind of joint modeling can be considered as a …

We illustrate a class of conditional models for the analysis of longitudinal data suffering
attrition in random effects models framework, where the subject-specific random effects are …