Registry data typically report incident cases within a certain calendar time interval. Such interval sampling induces double truncation on the incidence times, which may result in an observational bias. ...
Objective: Patients who undergo endovascular abdominal aortic aneurysm repair (EVR) remain at risk for reintervention and rupture. We sought to define the 5-year rate of reintervention and rupture after ...
Two elvitegravir/cobicistat-based therapies combined with emtricitabine/tenofovir disoproxil fumarate (EVG/c/FTC/TDF) or emtricitabine/tenofovir alafenamide fumarate (EVG/c/FTC/TAF) are currently available ...
Background The long-term effectiveness of atherectomy treatment for peripheral arterial disease is unknown. We studied 5-year clinical outcomes by endovascular treatment type among patients with peripheral ...
... follow-up, 10.2% of patients were treated with DTG and 4.5% of those treated with EVG discontinued due to adverse events (AE). In the case of DTG mainly related to neuropsychiatric disturbances (70.4%) ...
Background: Tumor budding is a readily detectable histopathologic feature that has been recognized as an adverse prognostic factor in several human cancers.
Objective: We sought to assess the correlation ...
Background: The high prevalence of cardiovascular risk factors among the renal transplant population accounts for increased mortality. The aim of this study is to determine the incidence of cardiovascular ...
... and the reasons for discontinuation of those lines were analyzed. The adverse events categorized as reasons to treatment discontinuation were collected. The relationship between the reasons for discontinuation ...
In longitudinal studies of disease, patients may experience several events through a follow-up period. In these studies, the sequentially ordered events are often of interest and lead to problems that ...
More than 90% of the sulfur dioxide in the air comes from human sources. Because of the adverse health effects of high levels of sulfur dioxide, specific regulations have been adopted to manage and reduce ...
Times between consecutive events are often of interest in medical studies. Usually the events represent different states of the disease process and are modeled using multi-state models. This paper introduces ...
Multistate models are useful tools for modeling disease progression when survival is the main outcome, but several intermediate events of interest are observed during the follow-up time. The illness-death ...
In longitudinal studies of disease, patients can experience several events across a followup period. Analysis of such studies can be successfully performed by multi-state models. In the multi-state framework, ...
Let (T1, T2) be gap times corresponding to two consecutive events, which are observed subject to random right-censoring. In this paper, a semiparametric estimator of the bivariate distribution function ...