In time-to-event settings, the presence of competing events complicates the definition of
causal effects. Here we propose the new separable effects to study the causal effect of a …

We present a new SAS macro% pshreg that can be used to fit a proportional subdistribution
hazards model for survival data subject to competing risks. Our macro first modifies the input …

Background Circulating concentrations of lipid biomarkers are associated with risk of
cardiovascular diseases (CVD). The evidence for a relationship with cancer risk, however, is …

Background Low retention on combination antiretroviral therapy (cART) has emerged as a
threat to the Joint United Nations Programme on human immunodeficiency virus (HIV)/AIDS …

Background Reports of perforation risk related to intrauterine devices (IUDs) inserted
immediately post partum and among non-post-partum individuals are scarce, and previous …

Background Self-harm is a major risk factor for suicide, with older adults (older than 65
years) having reportedly greater suicidal intent than any other age group. With the aging …

Background Competing risks are a common occurrence in survival analysis. They arise
when a patient is at risk of more than one mutually exclusive event, such as death from …

Coexisting cancer in patients with atrial fibrillation (AF) has been associated with
thromboembolism and bleeding. We used Danish population‐based medical databases to …

We study the competing risks model and show that the cause j cumulative incidence function
integrated from 0 to τ has a natural interpretation as the expected number of life years lost …

Many randomized trials evaluate an intervention effect on time‐to‐event outcomes.
Individual participant data (IPD) from such trials can be obtained and combined in a so …