Survival analyses are commonly applied to study death or other events of interest. In such
analyses, so-called competing risks may form an important problem. A competing risk is an …

Background Sensitivity analyses play a crucial role in assessing the robustness of the
findings or conclusions based on primary analyses of data in clinical trials. They are a critical …

Background Autosomal dominant polycystic kidney disease (ADPKD) is a leading cause of
end-stage renal disease, but estimates of its prevalence vary by> 10-fold. The objective of …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

Background Cancer survivors have a higher risk for developing cardiovascular diseases
than the general population. Objectives The aim of this study was to investigate whether …

Designing optimal treatment plans for patients with comorbidities requires accurate cause-
specific mortality prognosis. Motivated by the recent availability of linked electronic health …

Survival analysis is commonly used to evaluate factors associated with time to an event of
interest (eg, ESRD, cardiovascular disease, and mortality) among CKD populations. Time to …

Rationale & Objective Data for the association of sex with chronic kidney disease (CKD)
progression are conflicting, a relationship this study sought to examine. Study Design …

Background and Objectives Patients with severe kidney function impairment often have
autonomic dysfunction, which could be evaluated noninvasively by heart rate variability …

Background Competing risks occur when populations may experience outcomes that either
preclude or alter the probability of experiencing the main study outcome (s). Many standard …