OBJECTIVE To describe the relationships between the cumulative incidences of long-term
complications in individuals with type 1 diabetes (T1D) and assess whether observed …

We study rank‐based approaches to estimate the correlation between two right‐censored
variables. With end‐of‐study censoring, it is often impossible to nonparametrically identify …

State‐of‐the‐art biostatistics methods allow for the simultaneous modeling of several
correlated non‐fatal disease processes over time, but there is no clear guidance on the …

Intention-to-Treat Comparisons in Randomized Trials Page 1 Statistical Science 2022, Vol.
37, No. 3, 380–393 https://doi.org/10.1214/21-STS830 © Institute of Mathematical Statistics …

Dual-outcome intention-to-treat hazard rate analyses have potential to complement single-
outcome analyses for the evaluation of treatments or exposures in relation to multivariate …

Data analysis methods for the study of treatments or exposures in relation to a clinical
outcome in the presence of competing risks have a long history, often with inference targets …

Conditional hazard rate estimation for right censored data Page 1 Bernoulli 30(3), 2024,
2423–2449 https://doi.org/10.3150/23-BEJ1679 Conditional hazard rate estimation for right …

We propose an extension of Spearman's correlation for censored continuous and discrete
data that permits covariate adjustment. Previously proposed nonparametric and …

In diabetes and other lifelong diseases, it is not always known with certainty how chronic
correlated non-fatal disease processes co-develop over time. It is also not obvious how to …

Since the famous paper written by Kaplan and Meier in 1958, survival analysis has become
one of the most important fields in statistics. Nowadays it is one of the most important …