Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout
نویسندگان
چکیده
منابع مشابه
Bayesian semiparametric dynamic frailty models for multiple event time data.
Many biomedical studies collect data on times of occurrence for a health event that can occur repeatedly, such as infection, hospitalization, recurrence of disease, or tumor onset. To analyze such data, it is necessary to account for within-subject dependency in the multiple event times. Motivated by data from studies of palpable tumors, this article proposes a dynamic frailty model and Bayesia...
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Consider a study where the times of occurrences of a recurrent event for n units are monitored. For the ith unit, T(i1), T(i2), …, denote the successive event interoccurrence times and this unit is monitored over a random period [0, τ(i)] with τ(i) independent of the T(ij)s. Over this monitoring period, [Formula: see text] is the random number of event occurrences. The T(ij)s are independent an...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2019
ISSN: 0006-341X,1541-0420
DOI: 10.1111/biom.13085